Method and system for a multitenancy telephone network

Information

  • Patent Grant
  • 11785145
  • Patent Number
    11,785,145
  • Date Filed
    Tuesday, August 31, 2021
    3 years ago
  • Date Issued
    Tuesday, October 10, 2023
    a year ago
Abstract
A method and system for operating a multitenancy telephony system including receiving a plurality of call requests associated with an application server; selecting a subset of the received call requests using a load balancer; assigning each selected call request to one of a plurality of resources creating, on the assigned resource, a call session for each selected call request; and coordinating the created call sessions resulting from the selected subset of the received call requests associated with the application server.
Description
TECHNICAL FIELD

This invention relates generally to the telephony field, and more specifically to a new and useful multitenancy telephone network in the telephony field.


BACKGROUND

A telephone network has historically used a channel architecture for a telephone session or connection. This channel architecture has a foundation in the history of telephony; a physical wired connection or channel needed to be physically connected to make a telephone call. The concept of channels is still used today. Subscribers to a telephone network are conventionally required to pay on a per channel basis. Users that wish to have a public branch exchange (“PBX”), call center, or similar telephony application typically subscribe to a service and have a fixed number of channels that are available to them and only them. As the number of channels is part of their contract, they cannot exceed that number of channels (or else the call or telephone session will fail). Since most applications only see full capacity usage on rare occasions, the user often pays for more channels than are typically used.


In contrast to the channel based architecture of the telephone network, packet based network innovations have seen a rise in recent years, such as voice over internet protocol (VOIP), internet based applications, and internet-based telephony applications. With newer technology coming to the telephony field there are unique challenges arriving for handling the hardware and software capacity demands. Dedicated hardware and software often perform tasks during a telephone call session or even act as an intermediary system for connecting a caller to an internet based application. Telephone systems generally have higher performance expectations than a website based application. While a user of a website expects a website and software to take time to load and process information, a caller experiences frustration in delays or unresponsive interactions while on the phone. Additionally, the telephony applications are still dependent on the channel based telephone system, which adds yet another barrier to scalability. The telephone network and existing telephone application software and hardware architecture limit the growing capabilities of the telephony application field. Thus, there is a need in the telephony field to create a new and useful multitenancy telephone network. This invention provides such a new and useful system and method.


OBJECTS OF THE INVENTION

The present invention provides a system and method for providing a multitenancy telephone network for telephony applications. One objective of the present invention is to manage shared resource usage in a multi-user environment and to dynamically scale resources to satisfy capacity requirements. A related effect of this objective is that the sum total of the apparent number of resources available to each user is greater than the actual number of resources used to implement the multi-tenant telephone network. Another objective of the present invention is to efficiently use resources of a telephony platform by provisioning the processing and storage resources to satisfy capacity requirements, effectively leaving other unused resources for alternative applications, powered off for power saving, or any suitable functions. Another objective of the present invention is to make the use of a cluster of telephony resources transparent to an application of a user. This transparency is preferably preserved despite situations where operation of an application is distributed between a plurality of telephone service resources and may involve a plurality of telephone sessions on different channels. These and other objects of the invention are accomplished by the preferred embodiments of the invention, including a system for multitenancy telephone network, a method for operating a multitenant telephone network, a method of operating a dynamic telephone network, and a method of distributing calls between telephone hardware, each described in the following sections.





BRIEF DESCRIPTION OF THE FIGURES


FIG. 1 is a flowchart representation of a preferred embodiment for the method of operating a multitenant telephone network;



FIGS. 2-4 are schematic representations of preferred embodiments of a system for a multitenancy telephone network;



FIG. 5 is a schematic representation of a preferred embodiment of the invention using a cluster of call transcribers;



FIG. 6 is a flowchart of a preferred embodiment for the method for operating a dynamic telephone network;



FIG. 7 is a flowchart of a preferred embodiment of the invention implementing a conference call; and



FIG. 8 is a flowchart of preferred embodiment of the invention receiving an incoming call.





DESCRIPTION OF THE PREFERRED EMBODIMENTS

The following description of the preferred embodiments of the invention is not intended to limit the invention to these preferred embodiments, but rather to enable any person skilled in the art to make and use this invention.


1. System for a Multitenancy Telephone Network


As shown in FIGS. 2-4, the system 100 of the preferred embodiment includes a telephony resource cluster 110, a call queue 120, an analysis system 130, a resource allocator 140, and a plurality of telephony network channels 150. The telephony resource 110 cluster preferably includes a plurality of allocated telephony network channels 152 and/or a plurality of telephony resources 112 such as a plurality of call routers, a load balancer, and may additionally include a service application. The system functions to distribute the use of the network and system resources and dynamically adjust the system based on capacity requirements.


The telephony resource cluster 110 (or “cluster”) functions as a scalable (expandable and/or contractible) collection of resources, where at least one resource is used to create a phone call session requested by a user. The cluster 110 is preferably a collection of hardware and/or software components that can dynamically adjust to satisfy processing and/or storage requirements. The cluster 110 preferably appears as a hardware and/or software cloud to outside devices, such that management of hardware allocation and usage is handled internally by the system. In one variation shown in FIG. 2, the telephony resource cluster 110, is preferably a plurality of telephony resources 112 which functions to provide intermediary processing tasks for a call request or call session, such as establishing a call session, converting telephony instructions into call actions, transcribing a call, or directing a call. In another variation shown in FIG. 3, the telephony resource cluster 110 is preferably a plurality of connections to allocated telephony network channels 152, where an allocated telephony network channel 152 is a channel of the allocated telephony network channels 152 that has been activated or designated as a channel available for a call session.


The telephony resources 112 are preferably software or hardware resources that are provisioned for a particular telephony processing task. There are preferably a plurality of telephony resources 112, and there may be a plurality of types of telephony resources that perform different dedicated tasks. A telephony resource 112 preferably includes a computer processors and/or computer storage devices. The telephony resource 112 may be a physical hardware device, virtual machine, a software program/routine, and/or any suitable combination to provide the processing and storage operations of a telephony resource 112. In some cases, a telephony resource 112 may include dedicated hardware or software. Since the telephony resources 112 share the basic functionally as either processing power or data storage, the core functionality of a telephony resource 112 may be reprovisioned such that the telephony resource 112 performs a different dedicated task. The resource allocator 140 (and more specifically the load balancer 142) preferably reprovisions telephony resources 112 to act as different parts of the resource cluster 110. For example, the cluster may include a number of text-to-speech servers and a number of call routers, but at some point in time there may be a low number of text-to-speech operations being performed and an increased number of telephony applications, and so a text-to-speech server is preferably reprovisioned as a call router. In one variation, the plurality of telephony resources 112 (i.e., the cluster 110) preferably includes a plurality of call routers 114. Additionally or alternatively, the cluster may include other hardware devices or software instances such as media processing systems, transcription systems, text-to-speech systems, call recorders, call data storage, or any suitable hardware (physical device or virtual machine) or software. The resource allocator 140 for the cluster preferably includes a load balancer 142 that manages the distribution of processing tasks and the operation of the plurality of telephony resources 112. Additionally, the cluster may include a service application and/or a call router network that can cooperatively resolve issues that result from using a plurality of resources.


The plurality of call routers 114 functions to initiate or receive calls from telephony devices and provide telephony application related processing. Preferably, the call routers connect to an application server, which is preferably the source of the call request. The plurality of call routers 114 is preferably a dynamic number of call routers 114 that can be adjusted according to capacity requirements. As stated above, in alternative embodiments the plurality of call routers 114 may be replaced by or combined with other suitable telephony hardware or software resources such as media processing systems, transcription systems, text-to-speech systems, or other specialized hardware or software resources that are used in a telephony application. In one example, a plurality of transcription hardware or virtualized resources may be used in place of call routers for transcribing phone calls, as shown in FIG. 5. Additionally, a call router 114 may be reprovisioned as a media processing system, transcription system, text-to-speech system, or for any suitable process, and similarly any processor may be reprovisioned to serve as a call router. The number of hardware or software resources may additionally or alternatively be allocated or deallocated so that any desired number of resources in any suitable combination may be operated at any time. A hardware instance may be powered down, put into energy saving mode, or placed in any suitable state when deallocated. The telephony resources 112 may additionally or alternatively be operated as virtualized resources on a cloud computing platform (which may be operated by an outside party such as Elastic Compute Cloud operated by Amazon). When a telephony resources 112 such as a call router 114 is deallocated the virtualized resources may be returned to the vendor, given to other customers of the cloud computing platform, ending the virtualization of the resources, or any suitable process. A software instance may be quit or deleted when deallocated. The ratio of resources, such as the ratio of call routers to media processing systems, may be adjusted or maintained.


A call router 114 is preferably connected to a Public Switched Telephone Network (PSTN) device over the PSTN network, such that it can receive and make calls from PSTN-connected devices, such as landlines, cellular phones, satellite phones, or any other suitable PSTN-connected devices, as well as non-PSTN devices, such as Voice-Over-Internet-Protocol (VOIP) phones, SIP devices, Skype, Gtalk, or other Internet addressable voice devices. Thus the call routers 112 can preferably create connections to the telephone network of the distributed telephone controller. The call router 112 may alternatively or additionally function as or include a message router for use with telephony messaging such as SMS (Short Message Service) messages or MMS (Multi Media Messaging). The call router 112 can preferably connect to a messaging network, such that it can receive and send messages from SMS/MMS network devices, cellular phones, computers, smartphones, or any suitable SMS/MMS network devices. The call router 112 may also send or receive text messages, multimedia messages, emails, faxes and other suitable PSTN-compatible communication messages. The call router 112 preferably communicates with the application server using an application layer protocol, more preferably using the HTTP (Hypertext Transfer Protocol), or secure HTTPS (Hypertext Transfer Protocol Secure), protocol. The application server preferably hosts a telephony application, sound file, text file, a database, and/or any suitable media, resource or file that can be used by the call router for telephone interactions. The call router 112 may additionally generate call router resources. The call router resources are preferably accessible by the application server and other devices (such as other call routers) through a call router API. The call router resource functions as an addressable representation of call router meta-data, internal call router state, or the state of a given resource used by the call router. For example a call router 114 may record a call and save the recording as a call router resource.


Additionally, the telephony resource cluster 110 of the preferred embodiment may include a service application 116 that functions as a messaging component to coordinate functionality of an application that has been distributed across various call routers 114, hardware resources, and/or software resources. The service application 116 is preferably an internal resource that is used when normal operation of an application is prevented because the operation of an application is distributed amongst various hardware and software resources of the cluster 110. The service application 116 is preferably a messaging service that offers reliable messaging where a message is delivered to a particular destination (such as to another call router 114). The service application 116 may alternatively offer broadcasting messaging that announces a message without knowing who receives a message of if the message was received. As a first example, a hang-up service application 116 may be used to coordinate hanging up call sessions on different call routers 114. The hang-up service is preferably used to communicate to the appropriate call routers 114 to cancel outgoing calls when, for example, an application wants to dial a plurality of numbers but then hang up all unanswered calls once one of the calls is answered. As a second example, a multiple input service may gather and input commands from multiple telephone devices. So dual-tone multi-frequency (DTMF) input or voice commands may be issued by any caller and communicated to the application even if the calls are distributed over multiple call routers 114 within the cluster. This may be used in voting applications within a conference call. In this way, a telephone application does not need to actively account for processing and call handling being distributed within the cluster, and the hardware and software resources of the cluster preferably appear as a single entity to outside applications because of the internal service applications 116.


Additionally, the telephony resource cluster 110 of the preferred embodiment may include a call router network 118 that functions to allow a level of communication and synchronization between various call routers 114. The call router network 118 may additionally or alternatively be applied to other hardware or software resources. The call router network 118 is preferably used to access shared resources or as a communication channel. In one exemplary application, a voice over internet protocol (VOIP) connection is established over the call router network 118 for mixing audio from various call routers. The VOIP connection is preferably used in implementing conference calls distributed over multiple call routers 114. As another example, the call router network 118 may additionally be used to stream audio from a call router to a realtime internet audio stream. As another example, the call router network 118 may be used to access data on another telephony resource 112 such as by using the call router API to access a call router resource. The service application 116 and the call router network 118 may additionally cooperate in synchronizing applications distributed within the cluster.


The call queue 120 of the preferred embodiment functions to manage a stack of call requests. The call queue 120 is preferably a list of outbound call requests that have not been serviced or been assigned necessary resources. The requests are preferably serviced at a rate suitable for the current capacity of the network 150 and telephony resource cluster 110. The servicing rate may alternatively be adjusted according to the capacity of the distributed telephony controller 144, the telephony resource cluster 110, and/or number of requests in the queue 120. A call request (such as one made by a telephony application) is preferably placed in the call queue 120 when capacity is exceeded or alternatively placed in the call queue 120 for every request or based on any suitable rule.


In one variation, an application preferably has associated user limits, in particular: an inter-call request rate limit (throttle) and a total limit (cap). The throttle and cap are preferably used to determine the positioning of requests in the call queue. The limits may alternatively be assigned to an account, phone number, or any suitable entity. Telephony messages (e.g., SMS or MMS) are one variation of a call request that can additionally be placed in the call queue. Inbound and outbound telephony message can preferably be queued because inbound messages do not require immediate action unlike inbound calls. The SMS message is preferably sent after the request is serviced in the queue. SMS messages and/or MMS messages may alternatively be queued in a dedicated message queue. SMS message may have a rate limit (throttle) and total limit (caps) that varies from requests. Requests received at any rate from a user are preferably spaced in time in the call queue according to the throttle. There is preferably a latency enforced between call requests from an application. Requests of different users are preferably ordered in the queue in a staggered or alternating fashion as shown in FIG. 6, but alternatively, users may have priority based on a service plan, first-come-first-serve policy, type of call request, and/or any suitable policy. The cap is preferably a limit on the total number of requests a user can make in a given amount of time. The user limits, handling, spacing, and/or ordering of the call queue 120 function to prevent one application from unfairly dominating the usage of the telephone network 150 or telephony resource cluster 110 at any one time. Additionally, applications may request access to telephony resources 112 as soon as possible or at some time in the future (e.g., a user schedules a call or calls for a later time). Additionally or alternatively, the user limits may be adjusted or set according to the needs of an application. An application may have particular requirements based on the nature or characteristics of the application of the user. The user limits are preferably set according to the contract and/or pricing model that a user selects or by any suitable means.


In another variation, the call queue 120 is dedicated to requests of a single user entity. In this variation, there is preferably a plurality of individually assigned call queues 120. Call requests are preferably organized into a call queue 120 for each user. Telephony message requests alternatively have a queue for each phone number. A user requests can preferably be added to the individually assigned queue 120 at any time. Each queue is preferably serviced (i.e., dequeued) on a schedule that considers the per-user limits (such as resource limits, system-wide limits, etc.). In other words the dequeuing occurs in an alternating fashion between the plurality of call queues 120. The individually assigned call queues may additionally be for particular resources, and the dequeuing preferably occurs according to the dequeuing rate of the particular resource. The dequeuing rate is preferably related to the capacity of the resource but may alternatively be based on any suitable criteria. As with the other queuing variations, queuing may alternatively occur according to any suitable queuing methodology such as randomly, in a round-robin fashion, with fair queuing, with weighted fair queuing, based on actual resource utilization, and/or any suitable methodology. As an alternative to queuing based on account/phone number, call or message requests may be queued based on time, priority, usage history, or any suitable aspect. There may additionally be a control queue used to coordinate the dequeuing of individually assigned call queues (or message queues) 120.


As mentioned above, the call queue 120 may include an additional or alternative system for handling telephony messages (e.g., SMS or MMS messages). SMS messages preferably have additional limitations on their servicing rates and restrictions. SMS messages are preferably not only queued for sharing telephone network access with various users, but rates are also preferably implemented to prevent SMS messages from a single user from being rate limited, identified as spam. A call queue 120 for telephony messages may include at least two types of queues: a control queue and a phone number queue. The phone number queue preferably functions as a personal queue of a single user for telephone messages the user wants to send, and the control queue functions substantially similar to the multi-user queue described above for the call queue 120. The individually assigned call queue 120 may alternatively be used without the control queue, and the individually assigned call queue 120 may be based on account phone number or any suitable assignment. The control queue and phone number queue preferably functions to isolate the queuing of messages for a particular application and the messages of the plurality of messages. The content of the SMS message (the text) or MMS message (the multimedia) is preferably not stored in the call queue directly, and a reference to the SMS message content is preferably stored. This functions to reduce the load on the queue. The SMS/MMS content is preferably stored and accessed when the queued reference is serviced.


A queue popper 122 (i.e., a dequeuer) is preferably a software or hardware mechanism that functions to select call requests to service from the call queue The queue popper 122 preferably selects call requests at a preferred rate, but the queue popper 122 may alternatively select calls requests according to capacity or available resources, or a combination thereof. There may additionally be a plurality of queue poppers 122 that function to simultaneously select call requests from the call queue 120. The number of call poppers 122 may be variable. Additional or special queue poppers 122 may be used for the additional SMS call queues. The call queue(s) 120, the queue popper(s) 122, or any suitable combination are preferably used to control the throttling (or servicing rate) of the call requests. The throttling may be performed on a per-phone number, per-account (as in a multi-tenant application), and/or according to any call/message attribute.


The analysis system 130 of the preferred embodiment functions to analyze the system to predict resource requirements. The analysis system 130 preferably monitors a plurality of aspects of the system. The analysis system 130 may monitor the current capacity such as network or hardware operation levels or trends (increasing or decreasing); usage history such as logged data to find correlations in capacity (e.g., detecting patterns); queue length and queue entry latency; analysis of applications such as historical patterns from past usage of an application; and/or any suitable aspects. Patterns in capacity needs are preferably found related to the time of day, day of the week, yearly patterns, usage patterns (such as if an increase in capacity needs by one user indicates increase in capacity needs by other users), call location, call duration of calls, and/or any suitable indicator. The analysis system 130 preferably makes distinctions between inbound and outbound capacity for telephone network channels. The analysis system preferably generates data for the resource allocator 140, a distributed telephone controller 144, a load balancer 142, and/or additionally the call queue 120. The predictions or data from the analysis system may additionally be used for provisioning capacity of the distributed call controller, planning capacity requirements of the static capacity of the telephone network, the number of call routers, hardware or software resources within the cluster, and/or parameters of queue management. The analysis system 130 preferably compares expected and actual load, and provides data that is used to compensate for the variability in utilization of resources of the system.


The resource allocator 140 of the preferred embodiment functions to scale and manage the operation of the telephony cluster 110. The resource allocator 140 additionally preferably reprovisions telephony resources 112 of the cluster 110, allocates new telephony resources 112, deallocates telephony resources, and/or any other suitable allocation process. The resource allocator 140 may additionally control the provisioning of call queues and other devices of the system. The resource allocator 140 preferably uses data of the analysis system 130 in determining the provisioning and operation of resources. The resource allocator 140 preferably uses information from the analysis system 130 to predict required telephony resource 112 capacity. The resource allocator 140 preferably uses the predicted capacity requirements to determine how many hardware (physical or virtualized) or software resources need to be operating, and the resource allocator preferably allocates, deallocates, or reprovisions telephony resources 112 (e.g., call routers and/or other hardware or software resources) as necessary. The resource allocator 140 may additionally use startup time, operation cost, or other parameters of hardware and software resources when determining the number and ratio of resources to have allocated at a particular time. The resource allocator 140 also preferably keeps track of the quantity of resources currently available, and makes resource availability information available to other system components, including dequeuers, load balancers etc. Such resource availability information is preferably used by other system components to adjust operation of the system components. The resource allocator 150 preferably monitors the resources and reprovisions resources in real time.


The resource allocator 140 of the preferred embodiment preferably includes a load balancer 142 that functions to distribute processing tasks amongst the call routers and other hardware. The load balancer 142 of the preferred embodiment preferably optimizes the distribution of processing tasks such that the plurality of call routers 114 is operated at or near an optimal level. The operation of the call routers 114 may be optimized for performance, energy, cost, and/or any suitable conditions. The load balancer 142 preferably directs tasks (e.g., servicing of call requests/sessions) to appropriate call routers 142 (or telephony resource 112) as the tasks are created. A task is preferably an operation of a telephony application, but may alternatively be a call request or call session. In one example, one hundred call routers 114 may provide the call router tasks for one hundred telephony applications. In a second example, one hundred call routers 114 may each handle a single call session associated with one telephony application, such as for a conference call application with one hundred participants. The resource allocator 140 preferably sends notifications as to the current status of resources of the system (the load of resources, the number of resources, etc.) to the load balancer 142. The load balancer 142 distributes requests to currently available and running resources matching the requirements of the application being load balanced, based on data provided by the resource allocator 140.


The resource allocator 140 of the preferred embodiment may include a distributed call controller 144 that functions to controls usage and operation of the telephone network 150 by the system. The distributed call controller preferably manages the shared usage of the telephone network channels 150 by the plurality of telephony resources. The distributed call controller 144 may alternatively be a subset of multiple telephone networks if multiple network providers or carriers are used. The operation of the distributed call controller 144 preferably functions to operate an allocated number of channels for current capacity requirements of the telephone network 150. The allocated channels are preferably channels within the available static channel capacity that are in use or prepared for use. The distributed call controller preferably has less than or equal capacity as the static channel capacity at any given time. The capacity of the distributed call controller 150 can preferably be increased by allocating more resources of the telephone network to the call controller, and the capacity of the distributed call controller 144 can preferably be decreased by deallocating resources of the telephone network. As an example, a commodity hardware node may be added to the telephone network to run a telephony software stack during high capacity requirements. The distributed call controller 144 preferably uses the analysis system 130 to predict or respond to the desired capacity requirements. The telephone network 150 may additionally be divided into inbound channels, outbound channels, and bidirectional channels that can be used for receiving calls, making calls, and both, respectively. The telephone network 150 may further include SMS or MMS inbound and outbound channels. The distributed call controller 144 preferably manages the usage of the type of channels according to predicted usage. The bidirectional channels are preferably used for flexibility in capacity requirements. As one example, if inbound call load is expected to be high, then outbound calls are preferably directed to outbound channels to leave more capacity for inbound calls. The distributed call controller 144 may additionally manage the number and usage of allocated channels according to subscription or contracts from network providers. Channels may be used allocated or deallocated to ensure that volume pricing thresholds or other network conditions are satisfied.


A telephone network with a static number of channels 150 is preferably the base infrastructure for providing users with telephone network access. Telephony sessions are preferably communicated over the telephone network and the telephony sessions preferably include telephony voice sessions and/or text/media messaging (telephony messaging). The static number of channels is preferably the total number of concurrent telephony sessions or calls that can be supported at one time. The number of channels is typically limited by the number of interconnections available to a specific carrier or network. The telephone network 150 may alternatively be composed of multiple carriers or network providers or the Public Switched Telephone Network, but the plurality of carriers or networks is preferably managed or handled as one telephone network. The static number of channels is preferably a set number for a period of time (usually based on a contract with a telephone company), and the number is preferably large enough to provide sufficient capacity. The static number of channels preferably determines the capacity of a network and the ability of the telephone network to connect with other networks. The operation of the telephone network is preferably handled by providing applications access to a channel of the telephone network. The telephone network may have a given number of channels not being used at any given time. In one variation, the telephone network may alternatively operate unused channels in an unused-mode. The unused mode may be a full or partial hardware power down mode, a hardware sleep mode, a secondary use (such as for non-crucial uses that can preferably be interrupted with minimal adverse effects), and/or any suitable way. The unused mode would function to reduce operation cost and/or maximize the utility of unused capacity. The telephony network channels 150 are preferably Public Switched Telephone Network (PSTN) connections but may alternatively be Session Initiation Protocol (SIP) trunks or any suitable device to create a telephony network connection to a telephony device.


2. Method of Operating a Multitenant Telephone Network


As shown in FIG. 1, the method 100′ of operating a multitenant telephony network of the preferred embodiment includes the steps of multiplexing call requests of a plurality of users to a telephony resource S110, creating a first call session from the call request through the telephony resource S130, and multiplexing the call session with a plurality of additional call sessions to a telephony channel S140. The method 100′ functions to create an efficient and scalable network system for resource intensive telephone applications. The telephony resource is preferably part of a telephony resource cluster. The telephony resource cluster preferably scales to satisfy immediate capacity demands which functions to reduce operation cost and allow a wide variety of applications to use the multitenant telephony network due to the ability to handle a wide spectrum of network loads. Additionally, the method 100′ functions to allow the operation of a telephony application to be distributed between a variety of multi-user, shared resources (e.g., a telephony resource) such that the specific goals of telephone applications are not limited by the multitenant telephony network. The method 100′ of the preferred embodiment is preferably implemented by a system described above, but may alternatively be implemented by any suitable system.


Step S110, which includes multiplexing call requests of a plurality of users to a telephony resource, functions to share the use of a telephony resource between a plurality of users. A single telephony resource is preferably shared between a plurality of users/applications. The multiplexing preferably occurs in a form of time division multiplexing in which call requests are sent to telephony resource in an alternating fashion. The time division multiplexing is preferably based on completion of complete call sessions or processes. In other words, users take turns using the telephony resource to create a call session and run an application. For example, a first customer preferably has a call request serviced by a telephony resource and upon completion of the call session of the call request, a second user may have a call request serviced by the same telephony resource. A call request is preferably received from a user or more specifically a telephony application residing on an external server, but the call request may alternatively be sent from any suitable source. The call request is preferably received over a packet-based communication channel, in other words a non-direct communication channel. In one variation, the call request is preferably received in a HTTP or HTTPS message but may alternatively be received through any suitable application communication protocol. Step S110 may additionally include queuing a call request of a user S112, which functions to gate or prioritize incoming call requests. The call queue is preferably used for outbound requests, while inbound calls are preferably handled immediately (or else the call session will most likely fail). Alternatively, an inbound call may be queued for full service, with a “ringing” audio played back while call is waiting in the queue to be fully serviced. A queue may, however, be used for inbound telephony messages because telephony messages such as SMS messages and MMS messages will be resent if not received on the first attempt. The call queue is preferably a list of pending call requests from a plurality of users. An additional queue may additionally or alternatively be used for telephony messages. The call requests are preferably ordered within the queue in a way that balances access to resources. Each user (e.g., account, application, or phone number) is preferably assigned an inter call request limit (a throttle) and a limit on the maximum number of call requests that can be made in a specified amount of time (a cap). Call requests are preferably selected for servicing at a specified rate or by a device (i.e., a queue popper), which may be selecting calls based on current load on the telephony resource cluster. The queue may alternatively be operated in any suitable variation such as those described above. A queue may be assigned to each user or phone number. Queuing may alternatively occur according to any suitable queuing methodology such as randomly, in a round-robin fashion, with fair queuing, with weighted fair queuing, based on actual resource utilization, and/or any suitable methodology. A load balancer preferably distributes call requests to a telephony resource that has the least capacity. The load balancer and the call request queue preferably cooperatively distribute the load as described above.


As an additional step, method 100′ preferably includes provisioning resources of the telephony resource cluster S120, which functions to scale the capacity of the telephony resource cluster to adequately multiplex a call request to a telephony resource. Step S120 may include reprovisioning an existing telephony resource of the telephony resource cluster, allocating additional resources to the telephony resource cluster, and/or deallocating resources of the telephony resource cluster, and/or re-allocating resources from one type of resource to another in realtime. The telephony resource cluster preferably includes a plurality of telephony resources performing various functions or operations as described above. For example, the telephony resource cluster may include a plurality of call routers, transcription systems, media processing systems, and text-to-speech systems. A telephony resource preferably is composed of a computer processor and/or storage resources for a first purpose. As part of S120, a resource of the telephony resource cluster a processor and/or storage device of a telephony resource is preferably reprovisioned for a new second purpose. For example a text-to-speech may be reprovisioned to function as a call router at times when more calls need to be served. Additionally, more resources may be allocated or deallocated which may include adding new resources to the system and/or activating resources, or re-allocating resources from another customer of a shared resource environment. The resources are preferably those provided by a multitenant shared virtualized computing environment such as a cloud hosting provider (i.e., a web service that provides resizable compute capacity that allows a user to boot a machine image to create a virtual machine resource), but may alternatively be physical machines either co-located or distributed. For example, a number of resources may be operating in a powered down state. When the more capacity is required, the resources may be turned on/booted (i.e., allocated) to serve as a new resource of the telephony resource cluster. Similarly, when the telephony resource cluster has more capacity than is currently required a resource may be powered down, returned to a pool of resources for use by other companies (i.e., deallocated), or any suitable action to end current use of the resource.


Additionally, Step S120 may include analyzing resource capacity requirements S122 which functions to collect data on real-time or imminent capacity requirements. Data may be collected from the call request queue, from stored history on capacity requirements, current load of the telephony resource cluster, data from an analysis of applications, or any suitable source of predicting capacity requirements. Data from the call request queue may provide information such as number of pending call requests, the type or details of the call request, or any suitable queue related information. Stored capacity history preferably provides insight to capacity patterns such as temporal patterns throughout the day, week, or year. Current load of the telephony resource cluster preferably provides information such as the current number of resources of the telephony resource, number of available resources of the telephony resource, the division of type of resources, the number of deallocated resources, the number of telephone network channels, etc. Application analysis data preferably is data from the telephone applications of users on expected or predicted capacity requirements. An analysis is preferably performed on the operation of the application and or gathered from a user on the expected capacity requirements of the application such as number of calls, peak time for calls, what type of calls (e.g., conference calls, SMS messages etc.). The analysis information is preferably used to control the provisioning, allocation, and deallocation of resources of Step S120. Additionally, after analyzing the capacity requirements, other components of the system such as the telephony resource cluster, telephony resources, call queue, dequeuers, resource allocator are preferably notified of relevant analysis information. Particular analysis information may be specifically sent to a component. For example, the load balancers and the dequeuers are preferably informed about available resources and adjust operation according to the capacity information.


Step S130, which includes creating a first call session from the call request through the telephony resource, functions to convert the call request into a call session using the telephony resource. Step S130 preferably additionally includes additional processing and steps specific to a particular application. In a preferred variation, a call router preferably processes telephony instructions of a call request to identify the destination phone number and then establishes a connection to the destination phone number as part of Step S140. A transcription server may initiate recording or prepare to record a conversation of the call session.


Step S140, which includes multiplexing the call session with a plurality of additional call sessions to a telephony channel, functions to establish a telephone network connection to a telephony device. The telephony channel is preferably a PSTN (Public Switched Telephone Network) connection. This may be a physical wire or some interfacing infrastructure to connect to the PSTN. In some cases the concept of a channel is preferably subscribed to or rented from a telephone network. In one alternative, a SIP (Session Initiation Protocol) trunk may be used as an internet based gateway to a telephone network. The multiplexing preferably occurs in a form of time division multiplexing in which call sessions are connected to telephony channel in an alternating fashion. The time division multiplexing is preferably based on completion of complete call session. For example, a particular network channel may first be utilized for a call session of a first user, and upon completion of the call, a second call session may be established with the particular network channel for a second user. As part of Step S140, the telephony channels may additionally include provisioning telephony channels S142. This functions to adjust the number of available telephone network capacity of the system. By provisioning gateways to the telephone network (e.g., call routers or SIP trunks), channels or gateways to channels may be allocated or deallocated. Such scaling of telephony network channels preferably allows operation near the current telephone network capacity requirements. If such scalability was not in use then there would be a set limit on the number of channels that could be simultaneously used.


3. Method of Operating a Dynamic Telephone Network


As shown in FIG. 6, the method 200 of providing a telephony network of the preferred embodiment includes the steps of operating a telephone network with a static number of channels S210, providing telephone network channel access to a plurality of users S220, and managing usage of channels to allow a user to access a number of channels that exceeds normal operation S230. The method functions to allow the operator of the telephone network to offer high capacity to a plurality of users, without a reduction in quality or reliability of services based on usage. This method is preferably implemented on a system substantially similar to the one described above, but any suitable system may alternatively be used. The method may additionally be used in combination with the methods herein described. The method 200 further functions to allow users to use the telephone network without a specific concern about the number of channels required for operation. The users of the telephone network are preferably operating telephony applications such as call centers, Private Branch Exchanges (PBX), phone trees, telephony phone applications, VOIP services, SMS or MMS services, and/or any suitable telephony application. The operators of the telephone network are preferably a telephone service provider such as a telephony platform provider (e.g., a internet-telephone platform provider), a telephone company (e.g., owners of a telephone network such as AT&T), and/or any suitable party. In a variation of the preferred embodiment, the method 200 may additionally include a distributed call controller, a call queue, and/or the step of assessing capacity requirements.


Step S210, which includes operating a telephone network with a static number of channels, functions to be the base infrastructure for providing users with telephone network access. The static number of channels is preferably the total number of concurrent telephony sessions or calls that can be supported at one time. The number of channels is conventionally limited by the number of interconnections available to a specific carrier or network. The telephone network may, however, be composed of multiple carriers or network providers or the Public Switched Telephone Network, but the plurality of carriers or networks is preferably managed or handled as one telephone network. The static number of channels is preferably a set number for a period of time (usually based on contract with a telephone company), and the number is preferably large enough to provide sufficient capacity. The static number of channels is preferably an indication of the capacity of a network and the ability of the telephone network to connect with other networks. The operation of the telephone network is preferably handled by providing users access to a channel of the telephone network. The telephone network may have a given number of channels not being used at any given time. In one variation, the telephone network may alternatively operate unused channels in an unused-mode. The unused mode may be a full or partial hardware power down mode, a hardware sleep mode, a secondary use (such as for non-crucial uses that can preferably be interrupted with minimal adverse effects), and/or any suitable way. The unused mode would function to reduce operation cost and/or maximize the utility of unused capacity.


As an additional alternative to the preferred embodiment, the method may include operating a distributed call controller as a subset of the telephone network S212. The distributed call controller may alternatively be a subset of multiple telephone networks if multiple network providers or carriers are used. The operation of the distributed call controller preferably functions to operate an allocated number of channels for current capacity requirements of the telephone network. The distributed call controller preferably has less than or equal capacity as the static channel capacity at any given time. The capacity of the distributed call controller can preferably be increased by allocating more resources of the telephone network to the call controller, and the capacity of the distributed call controller can preferably be decreased by deallocating resources of the telephone network. Access to the telephony network is preferably facilitated by virtualized hardware or software (such as call routers or SIP trunks). Allocation of more resources of the telephone network may additionally include a virtualization of a device to access a telephony network. For example a virtualization of a network access channel may be added to add further access capacity to the telephony network. As another example, a commodity hardware node may be added to the telephone network to run a telephony software stack during high capacity requirements.


Step S220, which includes providing telephone network channel access to a plurality of users, functions to allow a plurality of different parties to access the channels of the telephone network. The users preferably subscribe to a service of the operator of the telephone network. The users of the telephone network are preferably operating telephony applications such as call centers, Private Branch Exchanges (PBX), phone trees, Interactive Voice Response (IVR) applications, internet-telephony applications, VOIP services, and/or any suitable telephony application. The user preferably does not subscribe to the service based on any specific number of channels. From the viewpoint of the user, the number of channels is preferably infinite or an irrelevant point for the operation of an application of the user. The user is preferably presented a per usage or time perspective (e.g., pricing and/or application usage perspective), while the telephone network is being operated on a per channel basis. The operator of the telephone network preferably converts costs associated with the operation of the telephone network (e.g. fixed capital costs of leasing from a telephone company or operation cost) into variable costs for the users. The access to the telephone network is preferably operated, leased, and/or on contract from a telephone company (such as AT&T) by a per channel basis. A lease agreement or contract may alternatively be negotiated to minimize per-channel (capacity) cost and preferably emphasize per usage or per time costs, or alternatively, any suitable leasing agreement or contract may be used. Users preferably pay by usage, a flat rate for a time period, per minute, a combination of usage and time charges, and/or any suitable pricing model.


Step S230, which includes managing usage of channels to allow a user access to a number of channels that exceeds normal operation S130, functions to provide high capacity capabilities to users while ensuring that the quality and reliability of the telephone network is not aversely affected by the usage of other users. An individual user of the plurality of users is preferably allowed to use a number of channels greater than an equal division between the plurality of users of the static number of channels. The sum total of the maximum number of channels an individual user uses at given times may preferably be greater than the static number of channels. The given times where an individual user has access a maximum number of channels is preferably when demand on the telephone network by other users is low. Usage of the telephone network and the telephony resource cluster is preferably time based multiplex based on the completion of telephony sessions (i.e., users share the use of the resources and network). In a simplified example, a telephone network has 10 channels available and there are five users. When distributed uniformly, the users would each have 2 channels available for usage, but in one preferred embodiment all five users may have access of up to 10 channels each, assuming no other user is using the channels. During regular use of the telephony network, the user still has the ability to access the maximum number of telephone network channels but the call requests are preferably gated by user limits implemented by a call queue. In another example extending on the above example, analysis might indicate that 4 users may use 2 channels at a given point of time, thus 8 may be available to the 5th user, while keeping capacity available for the first 4 users. Managing the usage of the channels preferably includes managing the usage of resources such as by: managing a call queue, enforcing user limits, predicting and/or analyzing usage and capacity requirements, adjusting capacity based on the capacity of the distributed call controller, and/or any suitable steps of managing the resources of the telephone network. Capacity of the distributed call controller may additionally be controlled or affected by predictions and analysis and user limits may additionally be affected.


The method of the preferred embodiment may additionally include the step of managing a call queue of requests from the plurality of users S232. Step S232 functions to prioritize the handling of call requests from users. The call queue is preferably a program or hardware managed stack that is operated as part of a control architecture of the telephone network. The control architecture preferably manages the telephone network and usage by the plurality of users. The call queue is preferably a list of call requests awaiting service by the telephone network including telephony voice session requests and/or SMS/MMS message requests. The requests are preferably serviced at a rate suitable for the current capacity of the network and for each user. The servicing rate may alternatively be adjusted according to the capacity of the distributed call center or number of requests in the queue. A user request is preferably placed in the call queue when capacity is exceeded or alternatively placed in the call queue for every request or based on any suitable rule. A user preferably has associated user limits, in particular: a call rate limit (throttle) and a total limit (cap). The throttle and cap are preferably used to determine the positioning of requests in the call queue. Requests from a user are preferably spaced in time in the call queue according to the throttle. Requests of different users are preferably ordered in the queue in a staggered or alternating fashion as shown in FIG. 6, but alternatively, users may have priority based on a service plan, first-come-first-serve policy and/or any suitable policy. The cap is preferably a limit on the total number of requests a user can make in a given amount of time. Subsequent requests are preferably schedule for a later time according to the cap, but requests exceeding the cap may be handled in any suitable manner. For example, if user can make one call per second, and the user requests 100 calls, they will be scheduled equally over the next 100 seconds. Note that this cap can be described as the number of calls/time frame (1/second), or the required latency between calls in the queue (1 second). The user limits, handling, spacing, and/or ordering of the call queue function to prevent one user from unfairly dominating the usage of the telephone network at any one time. In the variation of SMS/MMS message requests, the rate of individual users is considered to prevent message filtering by a network. For the SMS/MMS variation the requests may additionally be queued in a control queue and a phone number queue. The contents of the SMS/MMS messages are preferably stored and a reference to the contents of a message is queued which functions to reduce the load on the queue. A plurality of cache servicing ports or pointers are preferably used. The servicing ports are preferably a software and/or hardware control mechanism for operating a call request from the call queue. A servicing port preferably takes a request from the call queue and connects the corresponding user application or user to a telephone network channel. The servicing port may be a direct connection, but may alternatively be a hardware or software resource such as a call router in a cluster as described above. The servicing ports are preferably less than the static number of channels to allow capacity for incoming calls, but the servicing ports may alternatively be equal to the static number of channels. In one example where there are 1000 channels of the telephone network, there may be 500 service ports. This would leave 500 channels free for incoming calls. Additionally, users may request access to telephony resources as soon as possible or at some time in the future (e.g., a user schedules a call or calls for a later time). A queue popper is preferably a software or hardware mechanism responsible for selecting a call from the call queue to service. There may additionally be a plurality of queue poppers to select calls from a call queue. Additionally or alternatively, the user limits may be adjusted or set according to the needs of a user. A user may have particular requirements based on the nature or characteristics of the application of the user. The user limits are preferably set according to the contract and/or pricing model that a user selects or by any suitable means.


The method of the preferred embodiment may additionally include the step of predicting capacity requirements for the distributed call controller S234. Step S234 functions to assess indicators that correlate to the number of telephone network channels needed at a later point. The predicting of capacity is preferably accomplished by programmatically or mathematically (through pattern detection or any suitable algorithm) analyzing current and past information but any suitable method may alternatively be used. Patterns in capacity needs are preferably found related to the time of day, day of the week, yearly patterns, usage patterns (such as if an increase in capacity needs by one user indicates increase in capacity needs by other users), call location, call duration of calls, and/or any suitable indicator. The predictions of Step S234 may additionally be used for realtime provisioning, deprovisioning, and/or reprovisioning capacity of the distributed call controller or planning capacity requirements of the static capacity of the telephone network.


The method of the preferred embodiment may additionally include the step of reacting to capacity needs of the call queue S236. Step S236 functions to use the call queue and other current capacity indicators to adjust the distributed call controller for the current capacity requirements or anticipated near term requirements. The call queue is preferably assessed through software or alternatively by any suitable monitoring of the call queue. The number of calls currently in the queue, the total number of users currently using the telephone network, incoming calls (that may be not be queued), the frequency of user requests, and/or any suitable characteristic of the telephone network or the call queue preferably cause a reaction to the capacity needs. The reaction is preferably for current overall capacity needs but may alternatively be for current capacity needs of an individual user or any suitable party. The reactions may include adjusting the settings of the call queue (such as call queue service rate or ordering), modifying user limits, adjusting capacity of the distributed telephone controller, and/or any suitable action. In one example, a call queue may have many calls scheduled for 100 seconds after the current time, the distributed call controller may increase capacity to accommodate the anticipated capacity requirements.


The method of the preferred embodiment may additionally include the step of analyzing capacity needs of a user and predicting the telephone network capacity needs S238. Step S238 functions to detect individual capacity needs to determine total capacity requirements of the telephone network. Capacity needs of a user are preferably acquired by analyzing a telephony application of a user. Part of the analysis preferably includes detecting periodic events that indicate capacity needs of an individual application. An example of such an event might be an application associated with a weekly TV show where callers call in around the air time of the show. The analysis may alternatively or additionally include detecting typical call duration for an individual application. Some applications may only be used for a brief amount of time (such as when a short message is played), while other applications may require longer durations of use (such as when a user must navigate a long phone tree). Additionally, application history may be used to determine usage patterns such as by monitoring maximum, minimum, and/or average capacity requirements, frequency of requests, duration of requests, number of SMS messages sent in a particular time duration, and/or any suitable call characteristic. Usage characteristics of the individual applications of users are preferably combined with the usage characteristics of the other users to determine the total usage characteristics and capacity needs of the telephone network. Preferably, the code of the application is preferably analyzed to assess the functionality and usage patterns of the application. The application code or operation is preferably programmatically analyzed, but any suitable method may be used. Alternatively, the user and/or a second party may characterize the application and/or telephony service of the user. This characterization is preferably performed by the user while signing up, and preferably includes user expectations for the frequency of use, times of use, duration of calls, and/or any suitable characteristic of the application. The user may additionally prioritize when capacity should be highest for their application. Any suitable steps may be used to analyze an individual application.


As an additional alternative to the preferred embodiment, the method may include adjusting capacity of the distributed call controller S240. Step S240 functions to change the number of active channels of the telephone network to appropriately handle the capacity requirements. Step S240 is preferably used in combination with Step S212, which includes operating a distributed call controller. The adjustments to the distributed call controller adjust the capacity capability that the operator offers. The capacity is preferably adjusted based on the management of the usage of channels of the telephone network. The capacity is more preferably adjusted based on the predictions and analysis of Steps of S234 and/or S236, but may alternatively be adjusted in cooperation with Step S232, Step S238, and/or for any suitable reason. When more capacity is needed, more resources, such as CPU, RAM, DISK, etc., capable of handling simultaneous channels or providing more channels, are preferably allocated to the distributed telephone controller, and conversely when less capacity is required, resources are preferably deallocated from the distributed telephone controller. The adjustment of capacity is preferably made to handle the expected or predicted capacity. The static capacity of the telephone network may alternatively or additionally be adjusted. As the telephone network capacity is typically less flexible. Adjustments to the telephone network capacity are preferably made for long-term capacity needs (e.g., on a per month basis). Any suitable adjustment to the system for more or less capacity may alternatively be used.


4. Method of Distributing Calls Between Telephony Hardware


As shown in FIGS. 7-8, the method 300 of distributing calls between telephony hardware of the preferred embodiment includes the steps of queuing a call request S310, selecting a load balancing call router S320, and connecting a call with the selected call router S330. The method functions to balance usage of resources used in a telephony application. This method is preferably implemented on a system substantially similar to the one described above, but any suitable system may alternatively be used.


Step S310, which includes queuing a call request, functions to manage a call request until the necessary resources are available to service the call. A call request is preferably instantiated by a telephony application, a call router, a telephony device, and/or any suitable source of a call request. The call request may additionally be a SMS or MMS message request. The call request is preferably outgoing. An incoming call is preferably viewed as a more urgent call request than an outgoing request, and an incoming call may not be queued but alternatively may be passed directly to an available resource. Alternatively incoming call requests (call session initiations) may be queued, but since incoming calls have more immediacy they are preferably prioritized or the system must be have short queuing wait where a short wait is less than the time it would take for an incoming call to fail. The incoming call may alternatively be placed near the front of a queue or positioned in the queue according to separate rules appropriate for the higher priority of the call request. Similarly, a synchronous outgoing call request may be queued with high priority. A synchronous call is a call that another caller is relying on to proceed, as opposed to a new call initiated by an application in which a user will not notice a delay. Call requests are preferably ordered in the queue according to rules based on the throttle, caps, real-time urgency (priority) and/or any suitable factors.


Step S320, which includes selecting a load balancing call router, functions to identify a call router that should handle the call to preferably optimize the operation of a telephone resource cluster. The selected call router is typically the call router with the least load, but may alternatively be selected to optimize cost, energy usage, processing capability, and/or any suitable variable. Step S320 may additionally be applied to other hardware or software resources in addition to or alternatively to a call router. Call routers of a telephone resource cluster may have variable capacity and performance depending on hardware and/or software specs. The variability between the plurality call routers is preferably considered in selecting a call router. A load balancer substantially similar to the one described above is preferably the component that implements step S320, though step S320 may be performed by any suitable device. The load balancer is preferably capable of allocating and deallocating resources of the cluster, and so resources may be allocated and/or deallocated as a substep of S320. The resource allocator can preferably allocate and deallocate call routers, hardware resources, and/or software resources. The resources are preferably allocated or deallocated based on current or predicted utilization, but the resources may alternatively be allocated or deallocated as a function of other resources. For example, one media processing resource may be allocated (e.g., operating) for every five call routers. The selection of a load balancing call router preferably uses data from an analysis system. So that the step of selecting a load balancing call router may include selecting a call router that will balance load at a future time.


Step S330, which includes connecting a call with a selected call router, functions to pass control of the call to the specified resource. For an outgoing call, a call router preferably connects through a telephone network to the designated phone number. For an incoming call, the call router preferably connects to the specified telephony application; PSTN-connected device(s), such as landlines, cellular phones, satellite phones, or any other suitable PSTN-connected devices; non-PSTN devices, such as Voice-Over-Internet-Protocol (VOIP) phones, SIP devices, Skype, Gtalk, or other Internet addressable voice devices; and/or any suitable device associated with the number of the incoming call.


The method of the preferred embodiment may additionally include networking call routers that have a shared application S340. Step S340 functions to allow communication between multiple call routers. This is preferably useful in situations where functionality of an application is distributed over multiple resources (e.g., multiple call routers). The network preferably allows sharing of resources between call routers. Audio channels of call routers may additionally be mixed and shared between call routers. A VOIP channel is preferably formed over the network for bridging audio of different call routers. For example, a conference call may use the network to bridge audio of multiple call sessions from different call routers.


The method of the preferred embodiment may additionally include synchronizing applications with a service application S350. The service application functions to monitor an application distributed over a call router cluster and coordinate operation of the application. The service application may additionally be used to share state information between the call routers. The service application preferably provides a specific functionality such as a hang up service or a multiple input service as described above. Any suitable application may be implemented by the service application such as input-gathering, multi-dialing, call splitting, call merging, and any suitable feature. Any number of service applications may be used.


As a person skilled in the art will recognize from the previous detailed description and from the figures and claims, modifications and changes can be made to the preferred embodiments of the invention without departing from the scope of this invention defined in the following claims.

Claims
  • 1. A method comprising: receiving, at a resource cluster, a plurality of call requests from a plurality of telephony endpoints and for an application server, the plurality of call requests comprising a first call request from a first telephony device and a second call request from a second telephony device;selecting a subset of the received call requests, the selected subset including the first call request and the second call request;assigning, using a load balancer, the first call request to a first resource and the second call request to a second resource;creating, for the first call request, a first call session on the first resource, the first call session between the application server and the first telephony device;creating, for the second call request, a second call session on the second resource, the second call session between the application server and the second telephony device; andcoordinating, by the resource cluster, the created first and second call sessions.
  • 2. The method of claim 1, wherein the coordinating of the created first and second call sessions resulting from the first call request and the second call request comprises hanging up the created first and second call sessions.
  • 3. The method of claim 1, wherein: the coordinating of the created first and second call sessions comprises gathering commands from multiple telephone devices and providing the gathered commands to the application server.
  • 4. The method of claim 3, wherein the gathered commands comprise dual-tone multi-frequency (DTMF) commands.
  • 5. The method of claim 3, wherein the gathered commands comprise voice commands.
  • 6. The method of claim 1, wherein the coordinating of the created first and second call sessions comprises bridging audio of the created first and second call sessions.
  • 7. The method of claim 1, wherein the first resource and the second resource are hardware resources.
  • 8. A system comprising: one or more processors; anda memory that stores instructions that, when executed by the one or more processors of a resource cluster, cause the one or more processors to perform operations comprising: receiving a plurality of call requests from a plurality of telephony endpoints and for an application server, the plurality of call requests comprising a first call request from a first telephony device and a second call request from a second telephony device;selecting a subset of the received call requests, the selected subset including the first call request and the second call request;assigning, using a load balancer, the first call request to a first resource and the second call request to a second resource;creating, for the first call request, a first call session on the first resource, the first call session between the application server and the first telephony device;creating, for the second call request, a second call session on the second resource, the second call session between the application server and the second telephony device; andcoordinating the created first and second call sessions.
  • 9. The system of claim 8, wherein the coordinating of the created first and second call sessions resulting from the first call request and the second call request comprises hanging up the created first and second call sessions.
  • 10. The system of claim 8, wherein: the coordinating of the created first and second call sessions comprises gathering commands from multiple telephone devices and providing the gathered commands to the application server.
  • 11. The system of claim 10, wherein the gathered commands comprise dual-tone multi-frequency (DTMF) commands.
  • 12. The system of claim 10, wherein the gathered commands comprise voice commands.
  • 13. The system of claim 10, wherein the coordinating of the created first and second call sessions comprises bridging audio of the created first and second call sessions.
  • 14. The system of claim 8, wherein the first resource and the second resource are hardware resources.
  • 15. A non-transitory machine-readable medium that stores instructions that, when executed by one or more processors of a resource cluster, cause the processors to perform operations comprising: receiving a plurality of call requests from a plurality of telephony endpoints and for an application server, the plurality of call requests comprising a first call request from a first telephony device and a second call request from a second telephony device;selecting a subset of the received call requests, the selected subset including the first call request and the second call request;assigning, using a load balancer, the first call request to a first resource and the second call request to a second resource;creating, for the first call request, a first call session on the first resource, the first call session between the application server and the first telephony device;creating, for the second call request, a second call session on the second resource, the second call session between the application server and the second telephony device; andcoordinating the created first and second call sessions.
  • 16. The non-transitory machine-readable medium of claim 15, wherein the coordinating of the created first and second call sessions resulting from the first call request and the second call request comprises hanging up the created first and second call sessions.
  • 17. The non-transitory machine-readable medium of claim 15, wherein: the coordinating of the created first and second call sessions comprises gathering commands from multiple telephone devices and providing the gathered commands to the application server.
  • 18. The non-transitory machine-readable medium of claim 17, wherein the gathered commands comprise dual-tone multi-frequency (DTMF) commands.
  • 19. The non-transitory machine-readable medium of claim 17, wherein the gathered commands comprise voice commands.
  • 20. The non-transitory machine-readable medium of claim 15, wherein the coordinating of the created first and second call sessions comprises bridging audio of the created first and second call sessions.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 16/852,130, filed 17 Apr. 2020, which is a continuation of U.S. patent application Ser. No. 16/433,093, filed 6 Jun. 2019, which is a continuation of U.S. patent application Ser. No. 15/861,210, filed 3 Jan. 2018, which is a continuation of U.S. patent application Ser. No. 15/445,645, filed 28 Feb. 2017, which is a continuation of U.S. patent application Ser. No. 15/097,206, filed 12 Apr. 2016, which is a continuation of U.S. patent application Ser. No. 14/626,427, filed 19 Feb. 2015, which is a continuation of U.S. patent application Ser. No. 14/158,281, filed 17 Jan. 2014, now issued as U.S. Pat. No. 8,995,641, which is a continuation of U.S. patent application Ser. No. 13/632,872, filed 1 Oct. 2012, which is a continuation of U.S. patent application Ser. No. 12/716,127, filed 2 Mar. 2010, now issued as U.S. Pat. No. 8,315,369, which claims the benefit of U.S. Provisional Application No. 61/156,758, filed 2 Mar. 2009, U.S. Provisional Application No. 61/249,493, filed 7 Oct. 2009, and U.S. Provisional Application No. 61/296,270, filed 19 Jan. 2010, all of which are incorporated in their entirety by this reference. This application is related to prior application Ser. No. 12/417,630, filed 2 Apr. 2009, which is incorporated in its entirety by this reference.

US Referenced Citations (790)
Number Name Date Kind
5274700 Gechter et al. Dec 1993 A
5526416 Dezonno et al. Jun 1996 A
5581608 Jreij et al. Dec 1996 A
5598457 Foladare et al. Jan 1997 A
5867495 Elliott et al. Feb 1999 A
5934181 Adamczewski Aug 1999 A
5978465 Corduroy et al. Nov 1999 A
6026440 Shrader et al. Feb 2000 A
6034946 Roginsky et al. Mar 2000 A
6094681 Shaffer et al. Jul 2000 A
6138143 Gigliotti et al. Oct 2000 A
6185565 Meubus et al. Feb 2001 B1
6192123 Grunsted et al. Feb 2001 B1
6206564 Adamczewski Mar 2001 B1
6223287 Douglas et al. Apr 2001 B1
6232979 Shochet May 2001 B1
6269336 Ladd et al. Jul 2001 B1
6317137 Rosasco Nov 2001 B1
6363065 Thornton et al. Mar 2002 B1
6373836 Deryugin et al. Apr 2002 B1
6400804 Bilder Jun 2002 B1
6425012 Trovato et al. Jul 2002 B1
6426995 Kim et al. Jul 2002 B1
6430175 Echols et al. Aug 2002 B1
6434528 Sanders Aug 2002 B1
6442159 Josse et al. Aug 2002 B2
6445694 Swartz Sep 2002 B1
6445776 Shank et al. Sep 2002 B1
6459913 Cloutier Oct 2002 B2
6463414 Su et al. Oct 2002 B1
6493558 Bernhart et al. Dec 2002 B1
6496500 Nance et al. Dec 2002 B2
6501739 Cohen Dec 2002 B1
6501832 Saylor et al. Dec 2002 B1
6507875 Mellen-Garnett et al. Jan 2003 B1
6571245 Huang et al. May 2003 B2
6574216 Farris et al. Jun 2003 B1
6577721 Vainio et al. Jun 2003 B1
6600736 Ball et al. Jul 2003 B1
6606596 Zirngibl et al. Aug 2003 B1
6614783 Sonesh et al. Sep 2003 B1
6625258 Ram et al. Sep 2003 B1
6625576 Kochanski et al. Sep 2003 B2
6636504 Albers et al. Oct 2003 B1
6662231 Drosset et al. Dec 2003 B1
6704785 Koo et al. Mar 2004 B1
6707811 Greenberg et al. Mar 2004 B2
6707889 Saylor et al. Mar 2004 B1
6707899 Saito et al. Mar 2004 B2
6711129 Bauer et al. Mar 2004 B1
6711249 Weissman et al. Mar 2004 B2
6738738 Henton May 2004 B2
6757365 Bogard Jun 2004 B1
6765997 Zirngibl et al. Jul 2004 B1
6768788 Langseth et al. Jul 2004 B1
6771955 Imura et al. Aug 2004 B2
6778653 Kallas et al. Aug 2004 B1
6785266 Swartz Aug 2004 B2
6788768 Saylor et al. Sep 2004 B1
6792086 Saylor et al. Sep 2004 B1
6792093 Barak et al. Sep 2004 B2
6798867 Zirngibl et al. Sep 2004 B1
6807529 Johnson et al. Oct 2004 B2
6807574 Partovi et al. Oct 2004 B1
6819667 Brusilovsky et al. Nov 2004 B1
6820260 Flockhart et al. Nov 2004 B1
6829334 Zirngibl et al. Dec 2004 B1
6831966 Tegan et al. Dec 2004 B1
6834265 Balasuriya Dec 2004 B2
6836537 Zirngibl et al. Dec 2004 B1
6842767 Partovi et al. Jan 2005 B1
6850603 Eberle et al. Feb 2005 B1
6870830 Schuster et al. Mar 2005 B1
6873952 Bailey et al. Mar 2005 B1
6874084 Dobner et al. Mar 2005 B1
6885737 Gao et al. Apr 2005 B1
6888929 Saylor et al. May 2005 B1
6895084 Saylor et al. May 2005 B1
6898567 Balasuriya May 2005 B2
6912581 Johnson et al. Jun 2005 B2
6922411 Taylor Jul 2005 B1
6928469 Duursma et al. Aug 2005 B1
6931405 El-shimi et al. Aug 2005 B2
6937699 Schuster et al. Aug 2005 B1
6940953 Eberle et al. Sep 2005 B1
6941268 Porter et al. Sep 2005 B2
6947417 Laursen et al. Sep 2005 B2
6947988 Saleh et al. Sep 2005 B1
6961330 Cattan et al. Nov 2005 B1
6964012 Zirngibl et al. Nov 2005 B1
6970915 Partovi et al. Nov 2005 B1
6977992 Zirngibl et al. Dec 2005 B2
6981041 Araujo et al. Dec 2005 B2
6985862 Strom et al. Jan 2006 B2
6999576 Sacra Feb 2006 B2
7003464 Ferrans et al. Feb 2006 B2
7006606 Cohen et al. Feb 2006 B1
7010586 Allavarpu et al. Mar 2006 B1
7020685 Chen et al. Mar 2006 B1
7039165 Saylor et al. May 2006 B1
7046778 Martin et al. May 2006 B2
7058042 Bontempi et al. Jun 2006 B2
7062709 Cheung Jun 2006 B2
7065637 Nanja Jun 2006 B1
7076037 Gonen et al. Jul 2006 B1
7076428 Anastasakos et al. Jul 2006 B2
7089310 Ellerman et al. Aug 2006 B1
7103003 Brueckheimer et al. Sep 2006 B2
7103171 Annadata et al. Sep 2006 B1
7106844 Holland Sep 2006 B1
7111163 Haney Sep 2006 B1
7136932 Schneider Nov 2006 B1
7140004 Kunins et al. Nov 2006 B1
7142662 Rodenbusch et al. Nov 2006 B2
7143039 Stifelman et al. Nov 2006 B1
7197331 Anastasakos et al. Mar 2007 B2
7197461 Eberle et al. Mar 2007 B1
7197462 Takagi et al. Mar 2007 B2
7197544 Wang et al. Mar 2007 B2
7225232 Elberse May 2007 B2
7227849 Rasanen Jun 2007 B1
7231035 Walker et al. Jun 2007 B2
7245611 Narasimhan et al. Jul 2007 B2
7260208 Cavalcanti Aug 2007 B2
7266181 Zirngibl et al. Sep 2007 B1
7269557 Bailey et al. Sep 2007 B1
7272212 Eberle et al. Sep 2007 B2
7272564 Phillips et al. Sep 2007 B2
7277851 Henton Oct 2007 B1
7283515 Fowler Oct 2007 B2
7286521 Jackson et al. Oct 2007 B1
7287248 Adeeb Oct 2007 B1
7289453 Riedel et al. Oct 2007 B2
7296739 Mo et al. Nov 2007 B1
7298732 Cho Nov 2007 B2
7298830 Guedalia et al. Nov 2007 B2
7298834 Homeier et al. Nov 2007 B1
7308085 Weissman Dec 2007 B2
7308408 Stifelman et al. Dec 2007 B1
7324633 Gao et al. Jan 2008 B2
7324942 Mahowald et al. Jan 2008 B1
7328263 Sadjadi Feb 2008 B1
7330463 Bradd et al. Feb 2008 B1
7330890 Partovi et al. Feb 2008 B1
7340040 Saylor et al. Mar 2008 B1
7349714 Lee et al. Mar 2008 B2
7369865 Gabriel et al. May 2008 B2
7370329 Kumar et al. May 2008 B2
7373660 Guichard et al. May 2008 B1
7376223 Taylor et al. May 2008 B2
7376586 Partovi et al. May 2008 B1
7376733 Connelly et al. May 2008 B2
7376740 Porter et al. May 2008 B1
7412525 Cafarella et al. Aug 2008 B2
7418090 Reding et al. Aug 2008 B2
7426750 Cooper et al. Sep 2008 B2
7428302 Zirngibl et al. Sep 2008 B2
7440898 Eberle et al. Oct 2008 B1
7447299 Partovi et al. Nov 2008 B1
7454459 Kapoor et al. Nov 2008 B1
7457249 Baldwin et al. Nov 2008 B2
7457397 Saylor et al. Nov 2008 B1
7473872 Takimoto Jan 2009 B2
7486780 Zirngibl et al. Feb 2009 B2
7496054 Taylor Feb 2009 B2
7496188 Saha et al. Feb 2009 B2
7496651 Joshi Feb 2009 B1
7500249 Kampe et al. Mar 2009 B2
7505951 Thompson et al. Mar 2009 B2
7519359 Chiarulli et al. Apr 2009 B2
7522711 Stein et al. Apr 2009 B1
7536454 Balasuriya May 2009 B2
7542761 Sarkar Jun 2009 B2
7552054 Stifelman et al. Jun 2009 B1
7571226 Partovi et al. Aug 2009 B1
7606868 Le et al. Oct 2009 B1
7613287 Stifelman et al. Nov 2009 B1
7623648 Oppenheim et al. Nov 2009 B1
7630900 Strom Dec 2009 B1
7631310 Henzinger Dec 2009 B1
7644000 Strom Jan 2010 B1
7657433 Chang Feb 2010 B1
7657434 Thompson et al. Feb 2010 B2
7668157 Weintraub et al. Feb 2010 B2
7672275 Yajnik et al. Mar 2010 B2
7672295 Andhare et al. Mar 2010 B1
7675857 Chesson Mar 2010 B1
7676221 Roundtree et al. Mar 2010 B2
7685280 Berry et al. Mar 2010 B2
7685298 Day et al. Mar 2010 B2
7715547 Ibbotson et al. May 2010 B2
7716293 Kasuga et al. May 2010 B2
7742499 Erskine et al. Jun 2010 B1
7779065 Gupta et al. Aug 2010 B2
7809125 Brunson et al. Oct 2010 B2
7875836 Imura et al. Jan 2011 B2
7882253 Pardo-Castellote et al. Feb 2011 B2
7920866 Bosch et al. Apr 2011 B2
7926099 Chakravarty et al. Apr 2011 B1
7929562 Petrovykh Apr 2011 B2
7936867 Hill et al. May 2011 B1
7949111 Harlow et al. May 2011 B2
7962644 Ezerzer et al. Jun 2011 B1
7979555 Rothstein et al. Jul 2011 B2
7992120 Wang et al. Aug 2011 B1
8023425 Raleigh Sep 2011 B2
8024785 Andress et al. Sep 2011 B2
8045689 Provenzale et al. Oct 2011 B2
8046378 Zhuge et al. Oct 2011 B1
8046823 Begen et al. Oct 2011 B1
8069096 Ballaro et al. Nov 2011 B1
8078483 Hirose et al. Dec 2011 B1
8081744 Sylvain Dec 2011 B2
8081958 Soderstrom et al. Dec 2011 B2
8082576 Flynn et al. Dec 2011 B2
8103725 Gupta et al. Jan 2012 B2
8126128 Hicks, III et al. Feb 2012 B1
8126129 Mcguire Feb 2012 B1
8130750 Hester Mar 2012 B2
8139730 Da Palma et al. Mar 2012 B2
8145212 Lopresti et al. Mar 2012 B2
8149716 Ramanathan et al. Apr 2012 B2
8150918 Edelman et al. Apr 2012 B1
8156213 Deng et al. Apr 2012 B1
8165116 Ku et al. Apr 2012 B2
8166185 Samuel et al. Apr 2012 B2
8169936 Koren et al. May 2012 B2
8175007 Jain et al. May 2012 B2
8185619 Maiocco et al. May 2012 B1
8190670 Gavrilescu et al. May 2012 B2
8196133 Kakumani et al. Jun 2012 B2
8204479 Vendrow et al. Jun 2012 B2
8214868 Hamilton et al. Jul 2012 B2
8233611 Zettner Jul 2012 B1
8238533 Blackwell et al. Aug 2012 B2
8243889 Taylor et al. Aug 2012 B2
8244822 Lowry et al. Aug 2012 B1
8249552 Gailloux et al. Aug 2012 B1
8266327 Kumar et al. Sep 2012 B2
8295272 Boni et al. Oct 2012 B2
8306021 Lawson et al. Nov 2012 B2
8315198 Corneille et al. Nov 2012 B2
8315369 Lawson et al. Nov 2012 B2
8315620 Williamson et al. Nov 2012 B1
8319816 Swanson et al. Nov 2012 B1
8326805 Arous et al. Dec 2012 B1
8346630 Mckeown Jan 2013 B1
8355394 Taylor et al. Jan 2013 B2
8413247 Hudls et al. Apr 2013 B2
8417817 Jacobs Apr 2013 B1
8429827 Wetzel Apr 2013 B1
8438315 Tao et al. May 2013 B1
8462670 Chien Jun 2013 B2
8467502 Sureka et al. Jun 2013 B2
8477926 Jasper et al. Jul 2013 B2
8503639 Reding et al. Aug 2013 B2
8503650 Reding et al. Aug 2013 B2
8509068 Begall et al. Aug 2013 B2
8509415 Lawson et al. Aug 2013 B2
8532686 Schmidt et al. Sep 2013 B2
8542805 Agranovsky et al. Sep 2013 B2
8543665 Ansari et al. Sep 2013 B2
8547962 Ramachandran et al. Oct 2013 B2
8565117 Hilt et al. Oct 2013 B2
8572391 Golan et al. Oct 2013 B2
8576712 Sabat et al. Nov 2013 B2
8577803 Chatterjee et al. Nov 2013 B2
8582450 Robesky Nov 2013 B1
8594626 Woodson et al. Nov 2013 B1
8601136 Fahlgren et al. Dec 2013 B1
8611338 Lawson et al. Dec 2013 B2
8613102 Nath Dec 2013 B2
8621598 Lai et al. Dec 2013 B2
8649268 Lawson et al. Feb 2014 B2
8656452 Li et al. Feb 2014 B2
8667056 Proulx et al. Mar 2014 B1
8675493 Buddhikot et al. Mar 2014 B2
8688147 Nguyen et al. Apr 2014 B2
8695077 Gerhard et al. Apr 2014 B1
8728656 Takahashi et al. May 2014 B2
8745205 Anderson et al. Jun 2014 B2
8751801 Harris et al. Jun 2014 B2
8755376 Lawson et al. Jun 2014 B2
8767925 Sureka et al. Jul 2014 B2
8781975 Bennett et al. Jul 2014 B2
8806024 Toba Francis et al. Aug 2014 B1
8819133 Wang Aug 2014 B2
8825746 Ravichandran et al. Sep 2014 B2
8837465 Lawson et al. Sep 2014 B2
8838707 Lawson et al. Sep 2014 B2
8843596 Goel et al. Sep 2014 B2
8855271 Brock et al. Oct 2014 B2
8861510 Fritz Oct 2014 B1
8879547 Maes Nov 2014 B2
8938053 Cooke et al. Jan 2015 B2
8948356 Nowack et al. Feb 2015 B2
8954591 Ganesan et al. Feb 2015 B2
8964726 Lawson et al. Feb 2015 B2
8990610 Bostick et al. Mar 2015 B2
9014664 Kim et al. Apr 2015 B2
9015702 Bhat Apr 2015 B2
9031223 Smith et al. May 2015 B2
9032204 Byrd et al. May 2015 B2
9071677 Aggarwal et al. Jun 2015 B2
9137127 Nowack et al. Sep 2015 B2
9141682 Adoc, Jr. et al. Sep 2015 B1
9161296 Parsons et al. Oct 2015 B2
9204281 Ramprasad et al. Dec 2015 B2
9210275 Lawson et al. Dec 2015 B2
9306982 Lawson et al. Apr 2016 B2
9307094 Nowack et al. Apr 2016 B2
9325624 Malatack et al. Apr 2016 B2
9338190 Eng et al. May 2016 B2
9344573 Wolthuis et al. May 2016 B2
9378337 Kuhr Jun 2016 B2
9456008 Lawson et al. Sep 2016 B2
9456339 Hildner et al. Sep 2016 B1
9596274 Lawson et al. Mar 2017 B2
9628624 Wolthuis et al. Apr 2017 B2
9632875 Raichstein et al. Apr 2017 B2
10171513 Ramachandran et al. Jan 2019 B2
10348908 Lawson et al. Jul 2019 B2
10708437 Lawson et al. Jul 2020 B2
20010038624 Greenberg et al. Nov 2001 A1
20010043684 Guedalia et al. Nov 2001 A1
20010051996 Cooper et al. Dec 2001 A1
20020006124 Jimenez et al. Jan 2002 A1
20020006125 Josse et al. Jan 2002 A1
20020006193 Rodenbusch et al. Jan 2002 A1
20020025819 Cetusic et al. Feb 2002 A1
20020057777 Saito et al. May 2002 A1
20020064267 Martin et al. May 2002 A1
20020067823 Walker et al. Jun 2002 A1
20020077833 Arons et al. Jun 2002 A1
20020126813 Partovi et al. Sep 2002 A1
20020133587 Ensel et al. Sep 2002 A1
20020136391 Armstrong et al. Sep 2002 A1
20020165957 Devoe et al. Nov 2002 A1
20020176378 Hamilton et al. Nov 2002 A1
20020176404 Girard Nov 2002 A1
20020184361 Eden Dec 2002 A1
20020198941 Gavrilescu et al. Dec 2002 A1
20030006137 Wei et al. Jan 2003 A1
20030012356 Zino et al. Jan 2003 A1
20030014665 Anderson et al. Jan 2003 A1
20030018830 Chen et al. Jan 2003 A1
20030023672 Vaysman Jan 2003 A1
20030026426 Wright et al. Feb 2003 A1
20030046366 Pardikar et al. Mar 2003 A1
20030051037 Sundaram et al. Mar 2003 A1
20030058884 Kallner et al. Mar 2003 A1
20030059020 Meyerson et al. Mar 2003 A1
20030060188 Gidron et al. Mar 2003 A1
20030061317 Brown et al. Mar 2003 A1
20030061404 Atwal et al. Mar 2003 A1
20030088421 Maes et al. May 2003 A1
20030097330 Hillmer et al. May 2003 A1
20030097447 Johnston May 2003 A1
20030097639 Niyogi et al. May 2003 A1
20030103620 Brown et al. Jun 2003 A1
20030123640 Roelle et al. Jul 2003 A1
20030149721 Alfonso-nogueiro et al. Aug 2003 A1
20030162506 Toshimitsu et al. Aug 2003 A1
20030185218 Norris Oct 2003 A1
20030195950 Huang et al. Oct 2003 A1
20030195990 Greenblat et al. Oct 2003 A1
20030196076 Zabarski et al. Oct 2003 A1
20030204616 Billhartz et al. Oct 2003 A1
20030211842 Kempf et al. Nov 2003 A1
20030231647 Petrovykh Dec 2003 A1
20030233276 Pearlman et al. Dec 2003 A1
20040008635 Nelson et al. Jan 2004 A1
20040011690 Marfino et al. Jan 2004 A1
20040044953 Watkins et al. Mar 2004 A1
20040052349 Creamer et al. Mar 2004 A1
20040071275 Bowater et al. Apr 2004 A1
20040101122 Da Palma et al. May 2004 A1
20040102182 Reith et al. May 2004 A1
20040117788 Karaoguz et al. Jun 2004 A1
20040136324 Steinberg et al. Jul 2004 A1
20040165569 Sweatman et al. Aug 2004 A1
20040172482 Weissman et al. Sep 2004 A1
20040199572 Hunt et al. Oct 2004 A1
20040205101 Radhakrishnan Oct 2004 A1
20040205689 Ellens et al. Oct 2004 A1
20040213400 Golitsin et al. Oct 2004 A1
20040216058 Chavers et al. Oct 2004 A1
20040218748 Fisher Nov 2004 A1
20040228469 Andrews et al. Nov 2004 A1
20040236696 Aoki et al. Nov 2004 A1
20040240649 Goel Dec 2004 A1
20050005109 Castaldi et al. Jan 2005 A1
20050005200 Matenda et al. Jan 2005 A1
20050010483 Ling Jan 2005 A1
20050015505 Kruis et al. Jan 2005 A1
20050021626 Prajapat et al. Jan 2005 A1
20050025303 Hostetler, Jr. Feb 2005 A1
20050038772 Colrain Feb 2005 A1
20050043952 Sharma et al. Feb 2005 A1
20050047579 Salame Mar 2005 A1
20050060411 Coulombe et al. Mar 2005 A1
20050083907 Fishler Apr 2005 A1
20050091336 Dehamer et al. Apr 2005 A1
20050091572 Gavrilescu et al. Apr 2005 A1
20050108770 Karaoguz et al. May 2005 A1
20050125251 Berger et al. Jun 2005 A1
20050125739 Thompson et al. Jun 2005 A1
20050128961 Miloslavsky et al. Jun 2005 A1
20050135578 Ress et al. Jun 2005 A1
20050141500 Bhandari et al. Jun 2005 A1
20050147088 Bao et al. Jul 2005 A1
20050177635 Schmidt et al. Aug 2005 A1
20050181835 Lau et al. Aug 2005 A1
20050198292 Duursma et al. Sep 2005 A1
20050228680 Malik Oct 2005 A1
20050238153 Chevalier Oct 2005 A1
20050240659 Taylor Oct 2005 A1
20050243977 Creamer et al. Nov 2005 A1
20050246176 Creamer et al. Nov 2005 A1
20050286496 Malhotra et al. Dec 2005 A1
20050289222 Sahim Dec 2005 A1
20060008065 Longman et al. Jan 2006 A1
20060008073 Yoshizawa et al. Jan 2006 A1
20060008256 Khedouri et al. Jan 2006 A1
20060015467 Morken et al. Jan 2006 A1
20060021004 Moran et al. Jan 2006 A1
20060023676 Whitmore et al. Feb 2006 A1
20060047666 Bedi et al. Mar 2006 A1
20060067506 Flockhart et al. Mar 2006 A1
20060080415 Tu Apr 2006 A1
20060098624 Morgan et al. May 2006 A1
20060129638 Deakin Jun 2006 A1
20060143007 Koh et al. Jun 2006 A1
20060146792 Ramachandran et al. Jul 2006 A1
20060146802 Baldwin et al. Jul 2006 A1
20060168126 Costa-Requena et al. Jul 2006 A1
20060168334 Potti et al. Jul 2006 A1
20060203979 Jennings Sep 2006 A1
20060209695 Archer, Jr. et al. Sep 2006 A1
20060212865 Vincent et al. Sep 2006 A1
20060215824 Mitby et al. Sep 2006 A1
20060217823 Hussey Sep 2006 A1
20060217978 Mitby et al. Sep 2006 A1
20060222166 Ramakrishna et al. Oct 2006 A1
20060235715 Abrams et al. Oct 2006 A1
20060239249 Banner Oct 2006 A1
20060256816 Yarlagadda et al. Nov 2006 A1
20060262915 Marascio et al. Nov 2006 A1
20060270386 Yu et al. Nov 2006 A1
20060285489 Francisco et al. Dec 2006 A1
20070002744 Mewhinney et al. Jan 2007 A1
20070036143 Alt et al. Feb 2007 A1
20070038499 Margulies et al. Feb 2007 A1
20070043681 Morgan et al. Feb 2007 A1
20070050306 McQueen Mar 2007 A1
20070064672 Raghav et al. Mar 2007 A1
20070070906 Thakur Mar 2007 A1
20070070980 Phelps et al. Mar 2007 A1
20070071223 Lee et al. Mar 2007 A1
20070074174 Thornton Mar 2007 A1
20070088836 Tai et al. Apr 2007 A1
20070091907 Seshadri et al. Apr 2007 A1
20070107048 Halls et al. May 2007 A1
20070112574 Greene May 2007 A1
20070116191 Bermudez et al. May 2007 A1
20070121651 Casey et al. May 2007 A1
20070124431 Sharma May 2007 A1
20070124536 Carper May 2007 A1
20070127691 Lert Jun 2007 A1
20070127703 Siminoff Jun 2007 A1
20070130260 Weintraub et al. Jun 2007 A1
20070133771 Stifelman et al. Jun 2007 A1
20070147351 Dietrich et al. Jun 2007 A1
20070149166 Turcotte et al. Jun 2007 A1
20070153711 Dykas et al. Jul 2007 A1
20070167170 Fitchett et al. Jul 2007 A1
20070192629 Saito Aug 2007 A1
20070201448 Baird et al. Aug 2007 A1
20070208862 Fox et al. Sep 2007 A1
20070232284 Mason et al. Oct 2007 A1
20070239761 Baio et al. Oct 2007 A1
20070242626 Altberg et al. Oct 2007 A1
20070255828 Paradise Nov 2007 A1
20070265073 Novi et al. Nov 2007 A1
20070286180 Marquette et al. Dec 2007 A1
20070291734 Bhatia et al. Dec 2007 A1
20070291905 Halliday et al. Dec 2007 A1
20070293200 Roundtree et al. Dec 2007 A1
20070295803 Levine et al. Dec 2007 A1
20080005275 Overton et al. Jan 2008 A1
20080025320 Bangalore et al. Jan 2008 A1
20080037715 Prozeniuk et al. Feb 2008 A1
20080037746 Dufrene et al. Feb 2008 A1
20080040484 Yardley Feb 2008 A1
20080049617 Grice et al. Feb 2008 A1
20080052395 Wright et al. Feb 2008 A1
20080091843 Kulkarni Apr 2008 A1
20080101571 Harlow et al. May 2008 A1
20080104348 Kabzinski et al. May 2008 A1
20080120702 Hokimoto May 2008 A1
20080123559 Haviv et al. May 2008 A1
20080134049 Gupta et al. Jun 2008 A1
20080139166 Agarwal et al. Jun 2008 A1
20080146268 Gandhi et al. Jun 2008 A1
20080152101 Griggs Jun 2008 A1
20080154601 Stifelman et al. Jun 2008 A1
20080155029 Helbling et al. Jun 2008 A1
20080162482 Ahern et al. Jul 2008 A1
20080165708 Moore et al. Jul 2008 A1
20080172404 Cohen Jul 2008 A1
20080177883 Hanai et al. Jul 2008 A1
20080192736 Jabri et al. Aug 2008 A1
20080201426 Darcie Aug 2008 A1
20080209050 Li Aug 2008 A1
20080212945 Khedouri et al. Sep 2008 A1
20080222656 Lyman Sep 2008 A1
20080229421 Hudis et al. Sep 2008 A1
20080232574 Baluja et al. Sep 2008 A1
20080235230 Maes Sep 2008 A1
20080256224 Kaji et al. Oct 2008 A1
20080275741 Loeffen Nov 2008 A1
20080307436 Hamilton Dec 2008 A1
20080310599 Purnadi et al. Dec 2008 A1
20080313318 Vermeulen et al. Dec 2008 A1
20080316931 Qiu et al. Dec 2008 A1
20080317222 Griggs et al. Dec 2008 A1
20080317232 Couse et al. Dec 2008 A1
20080317233 Rey et al. Dec 2008 A1
20090046838 Andreasson Feb 2009 A1
20090052437 Taylor et al. Feb 2009 A1
20090052641 Taylor et al. Feb 2009 A1
20090059894 Jackson et al. Mar 2009 A1
20090063502 Coimbatore et al. Mar 2009 A1
20090074159 Goldfarb et al. Mar 2009 A1
20090075684 Cheng et al. Mar 2009 A1
20090083155 Tudor et al. Mar 2009 A1
20090089165 Sweeney Apr 2009 A1
20090089352 Davis et al. Apr 2009 A1
20090089699 Saha et al. Apr 2009 A1
20090092674 Ingram et al. Apr 2009 A1
20090093250 Jackson et al. Apr 2009 A1
20090125608 Werth et al. May 2009 A1
20090129573 Gavan et al. May 2009 A1
20090136011 Goel May 2009 A1
20090170496 Bourque Jul 2009 A1
20090171659 Pearce et al. Jul 2009 A1
20090171669 Engelsma et al. Jul 2009 A1
20090171752 Galvin et al. Jul 2009 A1
20090182896 Patterson et al. Jul 2009 A1
20090193433 Maes Jul 2009 A1
20090216835 Jain et al. Aug 2009 A1
20090217293 Wolber et al. Aug 2009 A1
20090022131 Chen et al. Sep 2009 A1
20090220057 Waters Sep 2009 A1
20090222341 Belwadi et al. Sep 2009 A1
20090225748 Taylor Sep 2009 A1
20090225763 Forsberg et al. Sep 2009 A1
20090228868 Drukman et al. Sep 2009 A1
20090232289 Drucker et al. Sep 2009 A1
20090234965 Viveganandhan et al. Sep 2009 A1
20090235349 Lai et al. Sep 2009 A1
20090241135 Wong et al. Sep 2009 A1
20090252159 Lawson et al. Oct 2009 A1
20090262725 Chen et al. Oct 2009 A1
20090276771 Nickolov et al. Nov 2009 A1
20090288012 Hertel et al. Nov 2009 A1
20090288165 Qiu et al. Nov 2009 A1
20090300194 Ogasawara Dec 2009 A1
20090316687 Kruppa Dec 2009 A1
20090318112 Vasten Dec 2009 A1
20100027531 Kurashima Feb 2010 A1
20100037204 Lin et al. Feb 2010 A1
20100054142 Moiso et al. Mar 2010 A1
20100070424 Monk Mar 2010 A1
20100071053 Ansari et al. Mar 2010 A1
20100082513 Liu Apr 2010 A1
20100087215 Gu et al. Apr 2010 A1
20100088187 Courtney et al. Apr 2010 A1
20100088698 Krishnamurthy Apr 2010 A1
20100094758 Chamberlain et al. Apr 2010 A1
20100103845 Ulupinar et al. Apr 2010 A1
20100107222 Glasser Apr 2010 A1
20100115041 Hawkins et al. May 2010 A1
20100138501 Clinton et al. Jun 2010 A1
20100142516 Lawson et al. Jun 2010 A1
20100145774 Veshnyakov et al. Jun 2010 A1
20100150139 Lawson et al. Jun 2010 A1
20100167689 Sepehri-Nik et al. Jul 2010 A1
20100188979 Thubert et al. Jul 2010 A1
20100191915 Spencer Jul 2010 A1
20100208881 Kawamura Aug 2010 A1
20100217837 Ansari et al. Aug 2010 A1
20100217982 Brown et al. Aug 2010 A1
20100232594 Lawson et al. Sep 2010 A1
20100235539 Carter et al. Sep 2010 A1
20100250946 Korte et al. Sep 2010 A1
20100251329 Wei Sep 2010 A1
20100251340 Martin et al. Sep 2010 A1
20100265825 Blair et al. Oct 2010 A1
20100029191 Sanding et al. Nov 2010 A1
20100281108 Cohen Nov 2010 A1
20100299437 Moore Nov 2010 A1
20100312919 Lee et al. Dec 2010 A1
20100332852 Vembu et al. Dec 2010 A1
20110026516 Roberts et al. Feb 2011 A1
20110029882 Jaisinghani Feb 2011 A1
20110029981 Jaisinghani Feb 2011 A1
20110053555 Cai et al. Mar 2011 A1
20110078278 Cui et al. Mar 2011 A1
20110081008 Lawson et al. Apr 2011 A1
20110083069 Paul et al. Apr 2011 A1
20110083179 Lawson et al. Apr 2011 A1
20110093516 Geng et al. Apr 2011 A1
20110096673 Stevenson et al. Apr 2011 A1
20110110366 Moore et al. May 2011 A1
20110014981 Koren et al. Jun 2011 A1
20110131293 Mori Jun 2011 A1
20110138453 Verma et al. Jun 2011 A1
20110143714 Keast et al. Jun 2011 A1
20110145049 Hertel et al. Jun 2011 A1
20110149950 Petit-Huguenin et al. Jun 2011 A1
20110151884 Zhao Jun 2011 A1
20110158235 Senga Jun 2011 A1
20110167172 Roach et al. Jul 2011 A1
20110170505 Rajasekar et al. Jul 2011 A1
20110176537 Lawson et al. Jul 2011 A1
20110179126 Wetherell et al. Jul 2011 A1
20110211679 Mezhibovsky et al. Sep 2011 A1
20110251921 Kassaei et al. Oct 2011 A1
20110253693 Lyons et al. Oct 2011 A1
20110255675 Jasper et al. Oct 2011 A1
20110258432 Rao et al. Oct 2011 A1
20110265168 Lucovsky et al. Oct 2011 A1
20110265172 Sharma Oct 2011 A1
20110267985 Wilkinson et al. Nov 2011 A1
20110274111 Narasappa et al. Nov 2011 A1
20110276892 Jensen-Horne et al. Nov 2011 A1
20110276951 Jain Nov 2011 A1
20110280390 Lawson et al. Nov 2011 A1
20110283259 Lawson et al. Nov 2011 A1
20110289126 Aikas et al. Nov 2011 A1
20110289162 Furlong et al. Nov 2011 A1
20110299672 Chiu et al. Dec 2011 A1
20110310902 Xu Dec 2011 A1
20110313950 Nuggehalli et al. Dec 2011 A1
20110320449 Gudlavenkatasiva Dec 2011 A1
20110320550 Lawson et al. Dec 2011 A1
20120000903 Baarman et al. Jan 2012 A1
20120011274 Moreman Jan 2012 A1
20120017222 May Jan 2012 A1
20120023531 Meuninck et al. Jan 2012 A1
20120023544 Li et al. Jan 2012 A1
20120027228 Rijken et al. Feb 2012 A1
20120028602 Lisi et al. Feb 2012 A1
20120036574 Heithcock et al. Feb 2012 A1
20120039202 Song Feb 2012 A1
20120059709 Lieberman et al. Mar 2012 A1
20120079066 Li et al. Mar 2012 A1
20120083266 Vanswol et al. Apr 2012 A1
20120089572 Raichstein et al. Apr 2012 A1
20120094637 Jeyaseelan et al. Apr 2012 A1
20120101952 Raleigh et al. Apr 2012 A1
20120110564 Ran et al. May 2012 A1
20120114112 Rauschenberger et al. May 2012 A1
20120149404 Beattie et al. Jun 2012 A1
20120166488 Kaushik et al. Jun 2012 A1
20120017361 Bleau et al. Jul 2012 A1
20120170726 Schwartz Jul 2012 A1
20120174095 Natchadalingam et al. Jul 2012 A1
20120179646 Hinton et al. Jul 2012 A1
20120179907 Byrd et al. Jul 2012 A1
20120180021 Byrd et al. Jul 2012 A1
20120180029 Hill et al. Jul 2012 A1
20120185561 Klein et al. Jul 2012 A1
20120198004 Watte Aug 2012 A1
20120201238 Lawson et al. Aug 2012 A1
20120208495 Lawson et al. Aug 2012 A1
20120221603 Kothule et al. Aug 2012 A1
20120226579 Ha et al. Sep 2012 A1
20120239757 Firstenberg et al. Sep 2012 A1
20120240226 Li Sep 2012 A1
20120246273 Bornstein et al. Sep 2012 A1
20120254828 Aiylam et al. Oct 2012 A1
20120266258 Tuchman et al. Oct 2012 A1
20120281536 Gell et al. Nov 2012 A1
20120288082 Segall Nov 2012 A1
20120290706 Lin et al. Nov 2012 A1
20120304245 Lawson et al. Nov 2012 A1
20120304275 Ji et al. Nov 2012 A1
20120316809 Egolf et al. Dec 2012 A1
20120321058 Eng et al. Dec 2012 A1
20120321070 Smith et al. Dec 2012 A1
20130028394 Lawson et al. Jan 2013 A1
20130029629 Lindholm et al. Jan 2013 A1
20130031158 Salsburg Jan 2013 A1
20130031613 Shanabrook et al. Jan 2013 A1
20130035427 Kimura et al. Feb 2013 A1
20130036476 Roever et al. Feb 2013 A1
20130047232 Tuchman et al. Feb 2013 A1
20130054517 Beechuk et al. Feb 2013 A1
20130054684 Brazier et al. Feb 2013 A1
20130058262 Parreira Mar 2013 A1
20130067232 Cheung et al. Mar 2013 A1
20130067448 Sannidhanam et al. Mar 2013 A1
20130097298 Ting et al. Apr 2013 A1
20130110658 Lyman May 2013 A1
20130128743 Lawson et al. May 2013 A1
20130129068 Lawson et al. May 2013 A1
20130132573 Lindblom May 2013 A1
20130139148 Berg et al. May 2013 A1
20130156024 Burg Jun 2013 A1
20130166580 Maharajh et al. Jun 2013 A1
20130179942 Caplis et al. Jul 2013 A1
20130201909 Bosch et al. Aug 2013 A1
20130204786 Mattes et al. Aug 2013 A1
20130212603 Cooke et al. Aug 2013 A1
20130244632 Spence et al. Sep 2013 A1
20130246944 Pandiyan et al. Sep 2013 A1
20130268676 Martins et al. Oct 2013 A1
20130325934 Fausak et al. Dec 2013 A1
20130328997 Desai Dec 2013 A1
20130336472 Fahlgren et al. Dec 2013 A1
20140013400 Warshavsky et al. Jan 2014 A1
20140025503 Meyer et al. Jan 2014 A1
20140058806 Guenette et al. Feb 2014 A1
20140064467 Lawson et al. Mar 2014 A1
20140072115 Makagon et al. Mar 2014 A1
20140073291 Hildner et al. Mar 2014 A1
20140095627 Romagnino Apr 2014 A1
20140101058 Castel et al. Apr 2014 A1
20140101149 Winters et al. Apr 2014 A1
20140105372 Nowack et al. Apr 2014 A1
20140106704 Cooke et al. Apr 2014 A1
20140122600 Kim et al. May 2014 A1
20140123187 Reisman May 2014 A1
20140126715 Lum et al. May 2014 A1
20140129363 Lorah et al. May 2014 A1
20140133482 Lawson et al. May 2014 A1
20140153565 Lawson et al. Jun 2014 A1
20140185490 Holm et al. Jul 2014 A1
20140254600 Shibata et al. Sep 2014 A1
20140258481 Lundell Sep 2014 A1
20140269333 Boerjesson Sep 2014 A1
20140274086 Boerjesson et al. Sep 2014 A1
20140282473 Saraf et al. Sep 2014 A1
20140289391 Balaji et al. Sep 2014 A1
20140304054 Orun et al. Oct 2014 A1
20140317640 Harm et al. Oct 2014 A1
20140037251 Fausak et al. Dec 2014 A1
20140355600 Lawson et al. Dec 2014 A1
20140372508 Fausak et al. Dec 2014 A1
20140372509 Fausak et al. Dec 2014 A1
20140373098 Fausak et al. Dec 2014 A1
20140379670 Kuhr Dec 2014 A1
20150004932 Kim et al. Jan 2015 A1
20150004933 Kim et al. Jan 2015 A1
20150023251 Giakoumelis et al. Jan 2015 A1
20150026477 Malatack et al. Jan 2015 A1
20150066865 Yara et al. Mar 2015 A1
20150081918 Nowack et al. Mar 2015 A1
20150082378 Collison Mar 2015 A1
20150100634 He et al. Apr 2015 A1
20150119050 Liao et al. Apr 2015 A1
20150163333 Lawson et al. Jun 2015 A1
20150181631 Lee et al. Jun 2015 A1
20150236905 Bellan et al. Aug 2015 A1
20150281294 Nur et al. Oct 2015 A1
20150365480 Soto et al. Dec 2015 A1
20150370788 Bareket et al. Dec 2015 A1
20150381580 Graham, III et al. Dec 2015 A1
20160011758 Dornbush et al. Jan 2016 A1
20160028695 Binder Jan 2016 A1
20160077693 Meyer et al. Mar 2016 A1
20160112475 Lawson et al. Apr 2016 A1
20160112521 Lawson et al. Apr 2016 A1
20160119291 Zollinger et al. Apr 2016 A1
20160127254 Kumar et al. May 2016 A1
20160149956 Birnbaum et al. May 2016 A1
20160162172 Rathod Jun 2016 A1
20160205519 Patel et al. Jul 2016 A1
20160226937 Patel et al. Aug 2016 A1
20160226979 Lancaster et al. Aug 2016 A1
20160234391 Wolthuis et al. Aug 2016 A1
20160239770 Batabyal et al. Aug 2016 A1
20160269564 Lawson et al. Sep 2016 A1
20170171395 Lawson et al. Jun 2017 A1
20170339283 Chaudhary et al. Nov 2017 A1
20180124250 Lawson et al. May 2018 A1
20200068071 Lawson et al. Feb 2020 A1
20200024481 Lawson et al. Jul 2020 A1
Foreign Referenced Citations (33)
Number Date Country
2789942 May 2017 CA
1571574 Jan 2005 CN
102415068 Apr 2012 CN
1684587 Mar 1971 DE
0282126 Sep 1988 EP
1464418 Oct 2004 EP
1522922 Apr 2005 EP
1770586 Apr 2007 EP
2053869 Apr 2009 EP
2404412 Jan 2012 EP
2134107 Sep 1999 ES
10294788 Nov 1998 JP
H10294788 Nov 1998 JP
2000078291 Mar 2000 JP
2001507877 Jun 2001 JP
2002511723 Apr 2002 JP
2002319969 Oct 2002 JP
2004166000 Jun 2004 JP
2004220118 Aug 2004 JP
2004336139 Nov 2004 JP
2006319914 Nov 2006 JP
2007533222 Nov 2007 JP
5671484 Dec 2014 JP
WO-9732448 Sep 1997 WO
WO-2002087804 Nov 2002 WO
WO-2006037492 Apr 2006 WO
WO-2004063854 May 2006 WO
WO-2009018489 Feb 2009 WO
WO-2009124223 Oct 2009 WO
WO-201004001 Apr 2010 WO
WO-2010037064 Apr 2010 WO
WO-2010101935 Sep 2010 WO
WO-2011091085 Jul 2011 WO
Non-Patent Literature Citations (89)
Entry
U.S. Appl. No. 14/626,427 U.S. Pat. No. 9,357,047, filed Feb. 19, 2015, Method and System for a Multitenancy Telephone Network.
U.S. Appl. No. 14/158,281 U.S. Pat. No. 8,995,641, filed Jan. 17, 2014, Method and System for a Multitenancy Telephone Network.
U.S. Appl. No. 15/097,206 U.S. Pat. No. 9,621,733, filed Apr. 12, 2016, Method and System for a Multitenancy Telephone Network.
U.S. Appl. No. 15/445,645 U.S. Pat. No. 9,894,212, filed Feb. 28, 2017, Method and System for a Multitenancy Telephone Network.
U.S. Appl. No. 15/861,210 U.S. Pat. No. 10,348,908, filed Jan. 3, 2018, Method and System for a Multitenancy Telephone Network.
U.S. Appl. No. 13/111,891 U.S. Pat. No. 8,509,415, filed May 19, 2011, Method and System for a Multitenancy Telephone Network.
“Aepona's API Monetization Platform Wins Best of 4G Awards for Mobile Cloud Enabler”, 4G World 2012 Conference & Expo, [Online]. [Accessed Nov. 5, 2015]. Retrieved from the Internet: <URL: https://www.realwire.com/releases/%20Aeponas-API-Monetization>, (Oct. 30, 2012), 4 pgs.
“U.S. Appl. No. 12/716,127, Non Final Office Action dated Jul. 2, 2012”, 12 pgs.
“U.S. Appl. No. 12/716,127, Notice of Allowance dated Sep. 19, 2012”, 5 pgs.
“U.S. Appl. No. 12/716,127, Preliminary Amendment filed Oct. 7, 2010”, 7 pgs.
“U.S. Appl. No. 12/716,127, Response filed Aug. 7, 2012 to Non Final Office Action dated Jul. 2, 2012”, 6 pgs.
“U.S. Appl. No. 13/111,891, Examiner Interview Summary dated Apr. 18, 2013”, 3 pgs.
“U.S. Appl. No. 13/111,891, Non Final Office Action dated Nov. 13, 2012”, 10 pgs.
“U.S. Appl. No. 13/111,891, Notice of Allowance dated May 22, 2013”, 7 pgs.
“U.S. Appl. No. 13/111,891, Response filed Apr. 15, 2013 to Non Final Office Action dated Nov. 13, 2012”, 8 pgs.
“U.S. Appl. No. 13/632,872, Notice of Allowance dated Feb. 27, 2014”, 13 pgs.
“U.S. Appl. No. 13/632,872, Preliminary Amendment filed Apr. 3, 2013”, 7 pgs.
“U.S. Appl. No. 13/743,135, Examiner Interview Summary dated Jun. 3, 2013”, 3 pgs.
“U.S. Appl. No. 13/743,135, Non Final Office Action dated Apr. 8, 2013”, 9 pgs.
“U.S. Appl. No. 13/743,135, Notice of Non Compliant Amendment dated Oct. 17, 2013”, 4 pgs.
“U.S. Appl. No. 13/743,135, Response filed Aug. 8, 2013 to Non Final Office Action dated Apr. 8, 2013”, 7 pgs.
“U.S. Appl. No. 13/743,139, Examiner Interview Summary dated Jun. 7, 2013”, 3 pgs.
“U.S. Appl. No. 13/743,139, Non Final Office Action dated Mar. 21, 2013”, 12 pgs.
“U.S. Appl. No. 13/743,139, Notice of Allowance dated Sep. 4, 2013”, 9 pgs.
“U.S. Appl. No. 13/743,139, Response filed Jun. 19, 2013 to Non Final Office Action dated Mar. 21, 2013”, 9 pgs.
“U.S. Appl. No. 14/158,281, Notice of Allowance dated Nov. 19, 2014”, 9 pgs.
“U.S. Appl. No. 14/626,427, 312 Amendment filed Apr. 28, 2016”, 2 pgs.
“U.S. Appl. No. 14/626,427, Non Final Office Action dated Jul. 16, 2015”, 5 pgs.
“U.S. Appl. No. 14/626,427, Notice of Allowance dated Jan. 29, 2016”, 5 pgs.
“U.S. Appl. No. 14/626,427, Response filed Nov. 13, 2015 to Non Final Office Action dated Jul. 16, 2015”, 7 pgs.
“U.S. Appl. No. 15/097,206, Non Final Office Action dated Jul. 11, 2016”, 8 pgs.
“U.S. Appl. No. 15/097,206, Notice of Allowance dated Nov. 30, 2016”, 5 pgs.
“U.S. Appl. No. 15/097,206, Response filed Oct. 5, 2016 to Non Final Office Action dated Jul. 11, 2016”, 8 pgs.
“U.S. Appl. No. 15/445,645, Non Final Office Action dated May 31, 2017”, 11 pgs.
“U.S. Appl. No. 15/445,645, Notice of Allowance dated Oct. 3, 2017”, 8 pgs.
“U.S. Appl. No. 15/445,645, Response filed Aug. 25, 2017 to Non Final Office Action dated May 31, 2017”, 6 pgs.
“U.S. Appl. No. 15/861,210, Final Office Action dated Jun. 22, 2018”, 12 pgs.
“U.S. Appl. No. 15/861,210, Non Final Office Action dated May 15, 2018”, 10 pgs.
“U.S. Appl. No. 15/861,210, Notice of Allowance dated Mar. 6, 2019”, 6 pgs.
“U.S. Appl. No. 15/861,210, Notice of Allowance dated Oct. 29, 2018”, 6 pgs.
“U.S. Appl. No. 15/861,210, Preliminary Amendment filed May 10, 2018”, 4 pgs.
“U.S. Appl. No. 15/861,210, Response filed Sep. 21, 2018 to Final Office Action dated Jun. 22, 2018”, 12 pgs.
“U.S. Appl. No. 16/433,093, Non Final Office Action dated Jan. 14, 2020”, 12 pgs.
“U.S. Appl. No. 16/433,093, Notice of Allowance dated Apr. 8, 2020”, 6 pgs.
“U.S. Appl. No. 16/433,093, Preliminary Amendment filed Nov. 13, 2019”, 6 pgs.
“U.S. Appl. No. 16/433,093, Response filed Feb. 27, 2020 to Non Final Office Action dated Jan. 14, 2020”, 7 pgs.
“U.S. Appl. No. 16/852,130, Examiner Interview Summary dated Jun. 1, 2021”, 2 pgs.
“U.S. Appl. No. 16/852,130, Final Office Action dated Jul. 1, 2021”, 15 pgs.
“U.S. Appl. No. 16/852,130, Non Final Office Action dated Mar. 12, 2021”, 12 pgs.
“U.S. Appl. No. 16/852,130, Response filed Jun. 11, 2021 to Non Final Office Action dated Mar. 12, 2021”, 11 pgs.
“Archive Microsoft Office 365 Email I Retain Unified Archiving”, GWAVA, Inc., Montreal, Canada, [Online] Retrieved from the Internet: <URL: http://www.gwava.com/Retain/Retain for_Office_365.php>, (2015), 4 pgs.
“Canadian Application Serial No. 2,789,942, Office Action dated Jan. 16, 2015”, 5 pgs.
“Canadian Application Serial No. 2,789,942, Office Action dated Feb. 18, 2016”, 3 pgs.
“Canadian Application Serial No. 2,789,942, Response filed Jul. 11, 2016 to Office Action dated Feb. 18, 2016”, 5 pgs.
“Chinese Application Serial No. 201080019548.0, Office Action dated Apr. 24, 2014”, W/English Translation, 7 pgs.
“Chinese Application Serial No. 201080019548.0, Office Action dated Oct. 8, 2013”, W/English Translation, 28 pgs.
“Chinese Application Serial No. 201080019548.0, Office Action dated Nov. 3, 2014”, W/English Translation, 25 pgs.
“Complaint for Patent Infringement”, Telinit Technologies, LLC v. Twilio Inc 2:12-cv-663, (Oct. 12, 2012), 17 pgs.
“Complaint for Patent Infringement by Soverain Software LLC”, Soverain Software LLC v. Amazon.com, Inc., et al. (E.D. Tex. 6:04-cv-00014), (Jan. 12, 2004), 149 pgs.
“Ethernet to Token Ring Bridge”, Black Box Corporation, [Online] Retrieved from the Internet: <URL: http://blackboxcanada.com/resource/files/productdetails/17044.pdf>, (Oct. 1999), 2 pgs.
“European Application Serial No. 10749216.7, Communication Pursuant to Article 94(3) EPC dated Feb. 7, 2017”, 4 pgs.
“European Application Serial No. 10749216.7, Communication Pursuant to Article 94(3) EPC dated Nov. 8, 2017”, 4 pgs.
“European Application Serial No. 10749216.7, Extended European Search Report dated Jun. 5, 2013”, 7 pgs.
“European Application Serial No. 10749216.7, Response filed Apr. 20, 2018 to Communication Pursuant to Article 94(3) EPC dated Nov. 8, 2017”, 9 pgs.
“European Application Serial No. 10749216.7, Response filed May 18, 2017 to Communication Pursuant to Article 94(3) EPC dated Feb. 7, 2017”, 7 pgs.
“European Application Serial No. 10749216.7, Response filed Dec. 23, 2013 to Extended European Search Report dated Jun. 5, 2013”, 14 pgs.
“International Application Serial No. PCT/US2010/025943, International Preliminary Report on Patentability dated Sep. 15, 2011”, 7 pgs.
“International Application Serial No. PCT/US2010/025943, International Search Report dated May 3, 2010”, 2 pgs.
“International Application Serial No. PCT/US2010/025943, Written Opinion dated May 3, 2010”, 5 pgs.
“Japanese Application Serial No. 2011-553047, Notification of Reasons for Rejection dated Feb. 10, 2014”, W/English Translation, 8 pgs.
“Japanese Application Serial No. 2011-553047, Office Action dated Nov. 25, 2014”, W/English Translation, 4 pgs.
“Japanese Application Serial No. 2011-553047, Voluntary Amendment filed Oct. 28, 2011”, English Translation of Claims, 38 pgs.
“Twilio Cloud Communications—APIs for Voice, VoIP, and Text Messaging”, Twilio, [Online] Retrieved from the Internet: <URL: http://www.twilio.com/docs/api/rest/call-feedback>, (Jun. 24, 2015), 8 pgs.
Abu-Lebdeh, et al., “A 3GPP Evolved Packet Core-Based Architecture for QoS-Enabled Mobile Video Surveillance Applications”, 2012 Third International Conference on the Network of the Future {NOF), (Nov. 21-23, 2012), 1-6.
Barakovic, Sabina, et al., “Survey and Challenges of QoE Management Issues in Wireless Networks”, Hindawi Publishing Corporation, (2012), 1-29.
Berners-Lee, T., “Rfc 3986: Uniform Resource Identifier (URI): Generic Syntax”, The Internet Society, [Online]. Retrieved from the Internet: <URL: http://tools.ietf.org/html/rfc3986>, (Jan. 2005), 57 pgs.
Kim, Hwa-Jong, et al., “In-Service Feedback QoE Framework”, 2010 Third International Conference on Communication Theory. Reliability and Quality of Service, (2010), 135-138.
Matos, et al., “Quality of Experience-based Routing in Multi-Service Wireless Mesh Networks”, Realizing Advanced Video Optimized Wireless Networks. IEEE, (2012), 7060-7065.
Mu, Mu, et al., “Quality Evaluation in Peer-to-Peer IPTV Services”, Data Traffic and Monitoring Analysis, LNCS 7754, 302-319, (2013), 18 pgs.
Subramanya, et al., “Digital Signatures”, IEEE Potentials, (Mar./Apr. 2006), 5-8.
Tran, et al., “User to User adaptive routing based on QoE”, ICNS 2011: The Seventh International Conference on Networking and Services, (2011), 170-177.
“U.S. Appl. No. 16/852,130, Response filed Aug. 30, 2021 to Final Office Action dated Jul. 1, 2021”, 9 pgs.
“U.S. Appl. No. 16/852,130, Notice of Allowance dated Oct. 18, 2021”, 11 pgs.
U.S. Appl. No. 16/433,093 U.S. Pat. No. 10,078,437, filed Jun. 6, 2019, Method and System for a Multitenancy Telephone Network.
U.S. Appl. No. 16/852,130, filed Apr. 17, 2020, Method and System for a Multitenancy Telephone Network.
U.S. Appl. No. 12/716,127 U.S. Pat. No. 8,315,369, filed Mar. 2, 2010, Method and System for a Multitenancy Telephone Network.
U.S. Appl. No. 13/632,872 U.S. Pat. No. 8,737,593, filed Oct. 1, 2012, Method and System for a Multitenancy Telephone Network.
U.S. Appl. No. 13/743,135, filed Jan. 16, 2013, Method and System for a Multitenancy Telephone Network.
U.S. Appl. No. 13/743,139 U.S. Pat. No. 8.570,873, filed Jan. 16, 2013, Method and System for a Multitenancy Telephone Network.
Related Publications (1)
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20220030114 A1 Jan 2022 US
Provisional Applications (3)
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61296270 Jan 2010 US
61249493 Oct 2009 US
61156758 Mar 2009 US
Continuations (9)
Number Date Country
Parent 16852130 Apr 2020 US
Child 17446552 US
Parent 16433093 Jun 2019 US
Child 16852130 US
Parent 15861210 Jan 2018 US
Child 16433093 US
Parent 15445645 Feb 2017 US
Child 15861210 US
Parent 15097206 Apr 2016 US
Child 15445645 US
Parent 14626427 Feb 2015 US
Child 15097206 US
Parent 14158281 Jan 2014 US
Child 14626427 US
Parent 13632872 Oct 2012 US
Child 14158281 US
Parent 12716127 Mar 2010 US
Child 13632872 US