The present technology pertains to networking tools, and more specifically to network visualization tools and graphical user interfaces for dynamic network troubleshooting.
Traditional network troubleshooting and diagnostic tools are typically confined to fixed decision trees or a predefined set of workspaces. These tools do not adequately represent today's dynamic and complex networks, and further limit users to static problem-solving patterns. Consequently, users are forced into fixed, narrow troubleshooting methods that are mapped to a deterministic system structure. Yet users instead need flexible and adaptive tools to better monitor and manage today's dynamic and complex networks. As a result, conventional tools greatly limit the user's ability to quickly and efficiently manage network resources.
In order to describe the manner in which the above-recited and other advantages and features of the disclosure can be obtained, a more particular description of the principles briefly described above will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. Understanding that these drawings depict only exemplary embodiments of the disclosure and are not therefore to be considered to be limiting of its scope, the principles herein are described and explained with additional specificity and detail through the use of the accompanying drawings in which:
Various embodiments of the disclosure are discussed in detail below. While specific implementations are discussed, it should be understood that this is done for illustration purposes only. A person skilled in the relevant art will recognize that other components and configurations may be used without parting from the spirit and scope of the disclosure.
Overview
Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be obvious from the description, or can be learned by practice of the herein disclosed principles. The features and advantages of the disclosure can be realized and obtained by means of the instruments and combinations particularly pointed out in the appended claims. These and other features of the disclosure will become more fully apparent from the following description and appended claims, or can be learned by the practice of the principles set forth herein.
The approaches set forth herein can be used to generate a dynamic troubleshooting workspace that allows users to generate a custom and desired workflow(s) for investigating and resolving a given network scenario or issue. The dynamic troubleshooting workspace can be a context-aware mechanism that allows users to connect two or more informational user interface components in an implicitly or explicitly defined order to form a transient or persistent diagnostics and data analysis workspace. The connectable components can be smart tiles, or any self-contained informational views with system-level relationships between and among one another.
The structure and context for the dynamic troubleshooting workspace can be dynamically defined by a user action, which can propagate through the underlying system-level semantics and data in order to render the corresponding workspace. The user action can be an expressed linkage between two or more connectable components, thereby dynamically presenting the user with a contained workspace in which to further explore relationships between two or more views and their contained objects. The user can also continue to add or link connectable components into this dynamic workspace as desired in order to facilitate a real-time and evolving troubleshooting intent and path through the system. As these additional linkages are established, the relationships between the components within the workspace can be illustrated and made available for additional exploration and investigation by the user.
The instantiation of the dynamic workspace view can also occur as a result of application-level context and logic. Here, the system can establish the connections implicitly on behalf of the user in order to elucidate particular object connections and relationships that are likely to be of interest given the current detected state of the system components. If the workspace is generated as a transient area or view, as opposed to a persistent one, the system can provide a user interface navigation affordance to close or exit the dynamic workspace view.
Disclosed are systems, methods, and computer-readable storage media for dynamic troubleshooting workspaces. A system can collect network statistics for a network and, based on the network statistics, present a first workspace having a first set of interface components. For example, the system can collect network statistics and use the network statistics to generate a graphical user interface (GUI) displaying the first workspace with the first set of interface components. Each of the first set of interface components can be an informational view of one or more network elements, which can include servers, virtual machines (VMs), services, event logs, parameters, topologies, events, semantics, locations, and so forth. The first set of interface components can contain respective network objects, such as services, servers, devices, VMs, events (e.g., incidents, errors, status changes, conditions, security events, etc.), physical or logical segments or locations, event logs, topologies, connections, and so forth.
In some embodiments, the interface components can be tiles. Thus, the first workspace can include a set of tiles or tile clusters. Each of the tiles can contain similar or related network objects, such as servers, VMs, services, events, topology, event logs, etc. For example, if the first workspace is created for a branch network, the tiles can represent devices, events, services, and topologies associated with the branch network, and the objects contained within the tiles can represent specific devices, events, services, or topologies.
In some embodiments, the number of interface components included in the first workspace can vary based on the network statistics, user input, system instructions, and so forth. For example, the number of interface components can be selected, increased, decreased or modified by a user. In some cases, a user can limit the number of interface components presented in the first workspace to focus on a fewer, more relevant interface components.
Next, the system can associate interface components from the first set of interface components to yield a network context that is based on a relationship between the associated interface components. For example, the system can link, connect, or associate an interface component representing servers in the network with another interface component representing incidents in the network. This association between interface components can create a relationship between the associated interface components which can represent a network context. In the above example, the network context could be servers and incidents, based on the relationship or association between the servers component and the incidents component. This network context can be used to create a new workspace, as further detailed below, which can include interface objects related or relevant to the network context (servers and incidents).
In some cases, the system can associate the selected interface components based on a user input or a system instructions. For example, a user can click or select a first interface component and a second interface component to create a link, connection, or association between the two selected interface components. In some embodiments, such link, connection, or association can be visual or graphical. For example, the system can display a line or object connecting the first selected interface component with a second one. In some embodiments, the system can also connect, link, or associate an object within a component with one or more objects within a second component, or a component with one or more objects within another component. For example, the system can link a component representing network incidents with a VPN service object within a network services component to create a relationship—and thus a network context—based on incidents in the network and a VPN service in the network.
The system can then dynamically present a second workspace including a second set of interface components. The system can present and/or generate the second workspace dynamically in response to the associated interface components and/or based on the network context. For example, if a services interface component is linked to an incidents interface component, the system can dynamically generate the second workspace based on the services and incidents represented by the connected interface components.
The second set of interface components can represent services, servers, incidents, events, appliances, VMs, logs, devices, locations, users, etc. Moreover, each of the second set of interface components can be based on the network context. For example, if the network context is services and incidents, the second set of interface components can be associated with the network services and/or incidents. To illustrate, assuming the second set of interface components includes servers and VMs interface components, such servers and VMs interface components can be associated with the network services and/or incidents represented by the associated interface components. For example, the servers interface component can represent servers provisioning the network services and/or having any of the incidents, and the VMs interface component can similarly represent VMs running the network services and/or having any of the incidents.
Further, each of the second set of interface components can contain one or more network objects. The network objects can be related or relevant to the respective interface components. For example, if an interface component represents servers, the objects can represent servers, server statistics, server status information, server events, server configurations, server conditions, and/or otherwise be associated with the servers. In some embodiments, the network objects can be graphical elements representing the objects. For example, the network objects can be visual representations of servers, devices, network models, service models, VMs, events, etc.
A computer network can include a system of hardware, software, protocols, and transmission components that collectively allow separate devices to communicate, share data, and access resources, such as software applications. More specifically, a computer network is a geographically distributed collection of nodes interconnected by communication links and segments for transporting data between endpoints, such as personal computers and workstations. Many types of networks are available, ranging from local area networks (LANs) and wide area networks (WANs) to overlay and software-defined networks, such as virtual extensible local area networks (VXLANs), and virtual networks such as virtual LANs (VLANs) and virtual private networks (VPNs).
LANs typically connect nodes over dedicated private communications links located in the same general physical location, such as a building or campus. WANs, on the other hand, typically connect geographically dispersed nodes over long-distance communications links, such as common carrier telephone lines, optical lightpaths, synchronous optical networks (SONET), or synchronous digital hierarchy (SDH) links. LANs and WANs can include layer 2 (L2) and/or layer 3 (L3) networks and devices.
The Internet is an example of a public WAN that connects disparate networks throughout the world, providing global communication between nodes on various networks. The nodes typically communicate over the network by exchanging discrete frames or packets of data according to predefined protocols, such as the Transmission Control Protocol/Internet Protocol (TCP/IP). In this context, a protocol can refer to a set of rules defining how the nodes interact with each other. Computer networks may be further interconnected by intermediate network nodes, such as routers, switches, hubs, or access points, which can effectively extend the size or footprint of the network.
Networks can be segmented into subnetworks to provide a hierarchical, multilevel routing structure. For example, a network can be segmented into subnetworks using subnet addressing to create network segments. This way, a network can allocate various groups of IP addresses to specific network segments and divide the network into multiple logical networks.
In addition, networks can be divided into logical segments called virtual networks, such as VLANs, which connect logical segments. For example, one or more LANs can be logically segmented to form a VLAN. A VLAN allows a group of machines to communicate as if they were in the same physical network, regardless of their actual physical location. Thus, machines located on different physical LANs can communicate as if they were located on the same physical LAN. Interconnections between networks and devices can also be created using routers and tunnels, such as VPN tunnels. Tunnels can encrypt point-to-point logical connections across an intermediate network, such as a public network like the Internet. This allows secure communications between the logical connections and across the intermediate network. By interconnecting networks, the number and geographic scope of machines interconnected, as well as the amount of data, resources, and services available to users can be increased.
Further, networks can be extended through network virtualization. Network virtualization allows hardware and software resources to be combined in a virtual network. For example, network virtualization can allow multiple numbers of VMs to be attached to the physical network via respective VLANs. The VMs can be grouped according to their respective VLAN, and can communicate with other VMs as well as other devices on the internal or external network.
To illustrate, overlay and software defined networks generally allow virtual networks to be created and layered over a physical network infrastructure. Overlay network protocols, such as Virtual Extensible LAN (VXLAN), Network Virtualization using Generic Routing Encapsulation (NVGRE), Network Virtualization Overlays (NVO3), and Stateless Transport Tunneling (STT), provide a traffic encapsulation scheme which allows network traffic to be carried across L2 and L3 networks over a logical tunnel. Such logical tunnels can be originated and terminated through virtual tunnel end points (VTEPs).
Moreover, overlay networks can include virtual segments, such as VXLAN segments in a VXLAN overlay network, which can include virtual L2 and/or L3 overlay networks over which VMs communicate. The virtual segments can be identified through a virtual network identifier (VNI), such as a VXLAN network identifier, which can specifically identify an associated virtual segment or domain.
Networks can include various hardware or software appliances or nodes to support data communications, security, and provision services. For example, networks can include routers, hubs, switches, APs, firewalls, repeaters, intrusion detectors, servers, VMs, load balancers, application delivery controllers (ADCs), and other hardware or software appliances. Such appliances can be distributed or deployed over one or more physical, overlay, or logical networks. Moreover, appliances can be deployed as clusters, which can be formed using layer 2 (L2) and layer 3 (L3) technologies. Clusters can provide high availability, redundancy, and load balancing for flows associated with specific appliances or nodes. A flow can include packets that have the same source and destination information. Thus, packets originating from device A to service node B can all be part of the same flow.
Endpoint groups (EPGs) can also be used in a network for mapping applications to the network. In particular, EPGs can use a grouping of application endpoints in a network to apply connectivity and policy to the group of applications. EPGs can act as a container for groups or collections of applications, or application components, and tiers for implementing forwarding and policy logic. EPGs also allow separation of network policy, security, and forwarding from addressing by instead using logical application boundaries.
Appliances or nodes, as well as clusters, can be implemented in cloud deployments. Cloud deployments can be provided in one or more networks to provision computing services using shared resources. Cloud computing can generally include Internet-based computing in which computing resources are dynamically provisioned and allocated to client or user computers or other devices on-demand, from a collection of resources available via the network (e.g., “the cloud”). Cloud computing resources, for example, can include any type of resource, such as computing, storage, network devices, applications, virtual machines (VMs), services, and so forth. For instance, resources may include service devices (firewalls, deep packet inspectors, traffic monitors, load balancers, etc.), compute/processing devices (servers, CPU's, memory, brute force processing capability), storage devices (e.g., network attached storages, storage area network devices), etc. In addition, such resources may be used to support virtual networks, virtual machines (VM), databases, applications (Apps), etc. Also, services may include various types of services, such as monitoring services, management services, communication services, data services, bandwidth services, routing services, configuration services, wireless services, architecture services, etc.
The cloud may include a “private cloud,” a “public cloud,” and/or a “hybrid cloud.” A “hybrid cloud” can be a cloud infrastructure composed of two or more clouds that inter-operate or federate through technology. In essence, a hybrid cloud is an interaction between private and public clouds where a private cloud joins a public cloud and utilizes public cloud resources in a secure and scalable manner. In some cases, the cloud can be include one or more cloud controllers which can help manage and interconnect various elements in the cloud as well as tenants or clients connected to the cloud.
Cloud controllers and/or other cloud devices can be configured for cloud management. These devices can be pre-configured (i.e, come “out of the box”) with centralized management, layer 7 (L7) device and application visibility, real time web-based diagnostics, monitoring, reporting, management, and so forth. As such, in some embodiments, the cloud can provide centralized management, visibility, monitoring, diagnostics, reporting, configuration (e.g., wireless, network, device, or protocol configuration), traffic distribution or redistribution, backup, disaster recovery, control, and any other service. In some cases, this can be done without the cost and complexity of specific appliances or overlay management software.
The disclosed technology addresses the need in the art for dynamic and interactive troubleshooting and diagnostic tools. Disclosed are systems, methods, and computer-readable storage media for dynamic troubleshooting workspaces. A description of cloud and network computing environments, as illustrated in
Cloud resources can be physical, software, virtual, or any combination thereof. For example, a cloud resource can include a server running one or more VMs or storing one or more databases. Moreover, cloud resources can be provisioned based on requests (e.g., client or tenant requests), schedules, triggers, events, signals, messages, alerts, agreements, necessity, or any other factor. For example, the cloud 150 can provision application services, storage services, management services, monitoring services, configuration services, administration services, backup services, disaster recovery services, bandwidth or performance services, intrusion detection services, VPN services, or any type of services to any device, server, network, client, or tenant.
In addition, cloud 150 can handle traffic and/or provision services. For example, cloud 150 can provide configuration services, such as auto VPN, automated deployments, automated wireless configurations, automated policy implementations, and so forth. In some cases, the cloud 150 can collect data about a client or network and generate configuration settings for specific service, device, or networking deployments. For example, the cloud 150 can generate security policies, subnetting and routing schemes, forwarding schemes, NAT settings, VPN settings, and/or any other type of configurations. The cloud 150 can then push or transmit the necessary data and settings to specific devices or components to manage a specific implementation or deployment. For example, the cloud 150 can generate VPN settings, such as IP mappings, port number, and security information, and send the VPN settings to specific, relevant device(s) or component(s) identified by the cloud 150 or otherwise designated. The relevant device(s) or component(s) can then use the VPN settings to establish a VPN tunnel according to the settings. As another example, the cloud 150 can generate and manage network diagnostic tools or graphical user interfaces.
To further illustrate, cloud 150 can provide specific services for client A (110), client B (120), and client C (130). For example, cloud 150 can deploy a network or specific network components, configure links or devices, automate services or functions, or provide any other services for client A (110), client B (120), and client C (130). Other non-limiting example services by cloud 150 can include network administration services, network monitoring services, content filtering services, application control, WAN optimization, firewall services, gateway services, storage services, protocol configuration services, wireless deployment services, and so forth.
To this end, client A (110), client B (120), and client C (130) can connect with cloud 150 through networks 160, 162, and 164, respectively. More specifically, client A (110), client B (120), and client C (130) can each connect with cloud 150 through networks 160, 162, and 164, respectively, in order to access resources from cloud 150, communicate with cloud 150, or receive any services from cloud 150. Networks 160, 162, and 164 can each refer to a public network, such as the Internet; a private network, such as a LAN; a combination of networks; or any other network, such as a VPN or an overlay network.
Moreover, client A (110), client B (120), and client C (130) can each include one or more networks. For example, (110), client B (120), and client C (130) can each include one or more LANs and VLANs. In some cases, a client can represent one branch network, such as a LAN, or multiple branch networks, such as multiple remote networks. For example, client A (110) can represent a single LAN network or branch, or multiple branches or networks, such as a branch building or office network in Los Angeles and another branch building or office network in New York. If a client includes multiple branches or networks, the multiple branches or networks can each have a designated connection to the cloud 150. For example, each branch or network can maintain a tunnel to the cloud 150. Alternatively, all branches or networks for a specific client can connect to the cloud 150 via one or more specific branches or networks. For example, traffic for the different branches or networks of a client can be routed through one or more specific branches or networks. Further, client A (110), client B (120), and client C (130) can each include one or more routers, switches, appliances, client devices, VMs, or any other devices.
Each client can also maintain links between branches. For example, client A can have two branches, and the branches can maintain a link between each other. Thus, in some cases, branches can maintain a tunnel between each other, such as a VPN tunnel. Moreover, the link or tunnel between branches can be generated and/or maintained by the cloud 150. For example, the cloud 150 can collect network and address settings for each branch and use those settings to establish a tunnel between branches. In some cases, the branches can use a respective tunnel between the respective branch and the cloud 150 to establish the tunnel between branches. For example, branch 1 can communicate with cloud 150 through a tunnel between branch 1 and cloud 150 to obtain the settings for establishing a tunnel between branch 1 and branch 2. Branch 2 can similarly communicate with cloud 150 through a tunnel between branch 2 and cloud 150 to obtain the settings for the tunnel between branch 1 and branch 2.
In some cases, cloud 150 can maintain information about each client network, in order to provide or support specific services for each client, such as security or VPN services. Cloud 150 can also maintain one or more links or tunnels to client A (110), client B (120), and/or client C (130). For example, cloud 150 can maintain a VPN tunnel to one or more devices in client A's network. In some cases, cloud 150 can configure the VPN tunnel for a client, maintain the VPN tunnel, or automatically update or establish any link or tunnel to the client or any devices of the client.
The cloud 150 can also monitor device and network health and status information for client A (110), client B (120), and client C (130). To this end, client A (110), client B (120), and client C (130) can synchronize information with cloud 150. Cloud 150 can also manage and deploy services for client A (110), client B (120), and client C (130). For example, cloud 150 can collect network information about client A and generate network and device settings to automatically deploy a service for client A. In addition, cloud 150 can update device, network, and service settings for client A (110), client B (120), and client C (130).
Those skilled in the art will understand that the cloud architecture 150 can include any number of nodes, devices, links, networks, or components. In fact, embodiments with different numbers and/or types of clients, networks, nodes, cloud components, servers, software components, devices, virtual or physical resources, configurations, topologies, services, appliances, deployments, or network devices are also contemplated herein. Further, cloud 150 can include any number or type of resources, which can be accessed and utilized by clients or tenants. The illustration and examples provided herein are for clarity and simplicity.
Moreover, as far as communications, packets (e.g., traffic and/or messages) can be exchanged among the various nodes and networks in the cloud architecture 100 using specific network protocols. In particular, packets can be exchanged using wired protocols, wireless protocols, security protocols, OSI-Layer specific protocols, or any other protocols. Some non-limiting examples of protocols can include protocols from the Internet Protocol Suite, such as TCP/IP; OSI (Open Systems Interconnection) protocols, such as L1-L7 protocols; routing protocols, such as RIP, IGP, BGP, STP, ARP, OSPF, EIGRP, NAT; or any other protocols or standards, such as HTTP, SSH, SSL, RTP, FTP, SMTP, POP, PPP, NNTP, IMAP, Telnet, SSL, SFTP, WIFI, Bluetooth, VTP, ISL, IEEE 802 standards, L2TP, IPSec, etc. In addition, various hardware and software components or devices can be implemented to facilitate communications both within a network and between networks. For example, switches, hubs, routers, access points (APs), antennas, network interface cards (NICs), modules, cables, firewalls, servers, repeaters, sensors, etc.
The cloud controller 200 can include several subcomponents, such as a scheduling function 204, a dashboard 206, data 208, a networking function 210, a management layer 212, and a communications interface 202. The various subcomponents can be implemented as hardware and/or software components. Moreover, although
The scheduling function 204 can manage scheduling of procedures, events, or communications. For example, the scheduling function 204 can schedule when resources should be allocated from the cloud 150. As another example, the scheduling function 204 can schedule when specific instructions or commands should be transmitted to the client 214. In some cases, the scheduling function 204 can provide scheduling for operations performed or executed by the various subcomponents of the cloud controller 200. The scheduling function 204 can also schedule resource slots, virtual machines, bandwidth, device activity, status changes, nodes, updates, etc.
The dashboard 206 can provide a frontend where clients can access or consume cloud services. For example, the dashboard 206 can provide a web-based frontend where clients can configure client devices or networks that are cloud-managed, provide client preferences, specify policies, enter data, upload statistics, configure interactions or operations, etc. In some cases, the dashboard 206 can provide visibility information, such as views of client networks or devices. For example, the dashboard 206 can provide a view of the status or conditions of the client's network, the operations taking place, services, performance, a topology or layout, specific network devices, protocols implemented, running processes, errors, notifications, alerts, network structure, ongoing communications, data analysis, etc.
In some cases, the dashboard 206 can provide a graphical user interface (GUI) for the client 214 to monitor the client network, the devices, statistics, errors, notifications, etc., and even make modifications or setting changes through the GUI. The GUI can depict charts, lists, tables, tiles, network trees, maps, topologies, symbols, structures, or any graphical object or element. In addition, the GUI can use color, font, shapes, or any other characteristics to depict scores, alerts, or conditions. In some cases, the dashboard 206 can also handle user or client requests. For example, the client 214 can enter a service request through the dashboard 206.
The data 208 can include any data or information, such as management data, statistics, settings, preferences, profile data, logs, notifications, attributes, configuration parameters, client information, network information, and so forth. For example, the cloud controller 200 can collect network statistics from the client 214 and store the statistics as part of the data 208. In some cases, the data 208 can include performance and/or configuration information. This way, the cloud controller 200 can use the data 208 to perform management or service operations for the client 214. The data 208 can be stored on a storage or memory device on the cloud controller 200, a separate storage device connected to the cloud controller 200, or a remote storage device in communication with the cloud controller 200.
The networking function 210 can perform networking calculations, such as network addressing, or networking service or operations, such as auto VPN configuration or traffic routing. For example, the networking function 210 can perform filtering functions, switching functions, failover functions, high availability functions, network or device deployment functions, resource allocation functions, messaging functions, traffic analysis functions, port configuration functions, mapping functions, packet manipulation functions, path calculation functions, loop detection, cost calculation, error detection, or otherwise manipulate data or networking devices. In some embodiments, the networking function 210 can handle networking requests from other networks or devices and establish links between devices. In other embodiments, the networking function 210 can perform queuing, messaging, or protocol operations.
The management layer 212 can include logic to perform management operations. For example, the management layer 212 can include the logic to allow the various components of the cloud controller 200 to interface and work together. The management layer 212 can also include the logic, functions, software, and procedure to allow the cloud controller 200 perform monitoring, management, control, and administration operations of other devices, the cloud 150, the client 214, applications in the cloud 150, services provided to the client 214, or any other component or procedure. The management layer 212 can include the logic to operate the cloud controller 200 and perform particular services configured on the cloud controller 200.
Moreover, the management layer 212 can initiate, enable, or launch other instances in the cloud controller 200 and/or the cloud 150. In some embodiments, the management layer 212 can also provide authentication and security services for the cloud 150, the client 214, the controller 214, and/or any other device or component. Further, the management layer 212 can manage nodes, resources, VMs, settings, policies, protocols, communications, etc. In some embodiments, the management layer 212 and the networking function 210 can be part of the same module. However, in other embodiments, the management layer 212 and networking function 210 can be separate layers and/or modules.
The communications interface 202 allows the cloud controller 200 to communicate with the client 214, as well as any other device or network. The communications interface 202 can be a network interface card (NIC), and can include wired and/or wireless capabilities. The communications interface 202 allows the cloud controller 200 to send and receive data from other devices and networks. In some embodiments, the cloud controller 200 can include multiple communications interfaces for redundancy or failover. For example, the cloud controller 200 can include dual NICs for connection redundancy.
Networks 304A and 304B can include various devices 314-318, 326-330, 338-342, 346-352, and 354, such as servers and client devices, interconnected via network devices 308-310, 312, 332-336, and 344, such as routers, firewalls, switches, and so forth. Each of the networks 304A and 304B can also include one or more physical and/or logical network segments. For example, networks 304A and 304B can be segmented into VLANs in order to separate traffic within the networks 304A and 304B.
In some embodiments, networks 304A and 304B can also include one or more network services, such as firewall services, content filtering services, application security services, web security services, bandwidth services, VPN services, web services, database services, remote access services, Internet services, and so forth. Moreover, networks 304A and 304B can include one or more virtual devices or services, such as virtual machines and virtual routing services.
Referring to
In some embodiments, the tiles 408-418 can be interface components which present an informational view of network elements or objects, for example. Thus, the interface components can be sized according to grid cells 406.
Referring to
In some cases, the tiles 402 and 424 can include objects and information, such as categories of objects (e.g., servers). Moreover, the size of the tiles 402 and 424 can vary based on the objects and/or information contained within the tiles. For example, as a tile includes more information or objects, it can increase in size (e.g., use more grid cells) to accommodate the additional information or objects.
The workspace 500 can include a secondary context 510 with location information associated with the context objects 502-506. In some cases, the secondary context 510 can include a map illustrating the relevant geographic area associated with the context objects 502-506 and identifying any relevant objects, such as networks, devices, clients, or services associated with the context objects 502-506. The workspace 500 can also include navigation objects 524, which can represent possible navigation(s) to other areas of an example application.
The workspace 500 can also include interface components 512-522. In some cases, the interface components 512-522 can be tiles or tile clusters. Each of the interface components 512-522 can represent one or more services, devices, networks, events, appliances, logs, network informational views, or network objects associated with the context objects 502-506. For example, the interface components 512-522 can represent one or more incidents, such as errors or failures; one or more locations, such as branches or networks; one or more appliances, such as virtual machines; one or more devices, such as servers, routers, virtual devices, etc.; one or more services, such as a cloud service, a VPN service, a firewall service, a remote access service, a web security service, a bandwidth service, an intrusion detection service, a load balancing service, or any other network and/or virtual service.
As previously mentioned, the interface components 512-522 can be associated with the context objects 502-506. In some cases, the context objects 502-506 can provide the context defining the content or objects associated with the interface components 512-522. For example, assume the context objects 502-506 represent the site “Mission Street” for the customer “Java Café” in the region “San Francisco.” The context for the interface components 512-522 can thus be “Mission Street” site for “Java Café” in “San Francisco.” Accordingly, the interface components 512-522 can represent one or more incidents, services, devices, informational views, appliances, etc., for the “Mission Street” site for “Java Café” in “San Francisco.” To illustrate, the services interface component 514 can present the various services for the “Mission Street” site for “Java Café” in “San Francisco.” Similarly, the incidents tile 512 can present any incidents at the “Mission Street” site for “Java Café” in “San Francisco.” The devices tile 516, servers tile 518, and VMs the 520 can respectively present devices, servers and VMs at the “Mission Street” site for “Java Café” in “San Francisco.”
Referring to
In some cases, the link 528 can trigger a new, dynamic workspace, such as workspace 600 described below with reference to
Interface components 512-522 can be connected or linked at specific areas, points, or anchors. For example, link 528 can connect interface components 512 and 514 at specific anchor points within the particular interface components 512 and 514. Other types of connections between interface components, including graphical and textual connections, are also contemplated herein.
The interface components 512-522 can be connected in response to a user input or a system instruction. For example, interface components 512 and 514 can be selected by a user to form the link 528 between the interface components 512 and 514. In some cases, a user can select an anchor point on an interface component in the workspace 500, such as interface component 512, and an anchor point on another interface component in the workspace 500, such as interface component 514, to connect those two interface components at the anchor points to update the state of workspace 500, as illustrated in workspace 526, to include link 528. Moreover, link 528 can then trigger workspace 600, illustrated in
For example, assume interface component 512 represents incidents, such as errors or events, and interface component 514 represents services. When interface components 512 and 514 are connected, the interface components 602, 604, and 612-616 created in workspace 600 can present interface components relevant to, or associated with, the incidents and services represented by interface components 512 and 514. In other words, by connecting an interface component 512 that represents incidents with an interface component 514 that represents services, the user or system can trigger a new workspace having a new context created based on a relationship between the incidents and services respectively represented by the connected interface components 512 and 514.
The interface component 602 in workspace 600 can be an incidents component representing any or all incidents associated with the services represented by the services interface component 514, within the context of the smart context tiles 502-506. The interface component 602 can thus provide details about the incidents associated with the network services in the network, also within the context defined by the smart context tiles 502-506. The incidents and/or associated details can include, for example, any incidents associated with the services from the services interface component 514, and/or any information about such incidents, including a listing of incidents, devices affected, services affected, users affected, network(s) affected, status information, time information, etc.
The services interface component 604 can include a services tab 620 or object listing any of the services in the network context defined by smart context tiles 502-506. Some non-limiting examples of services can include cloud services, VPN services, Firewall services, Remote Access services, Web Security services, network management services, load balancing services, storage services, intrusion detection services, WAN optimization services, wireless services, routing services, or any other network or application services.
Moreover, the services interface component 604 can provide a visualization or representation of the network services, and information about the services, such as the network topology, architecture, infrastructure, a service model, a physical and/or virtual model, one or more network components, etc. Thus, the services interface component 604 can provide one or more views of the services in the network. This can help a user understand how the services are configured, modeled, provisioned, and/or deployed and/or how the various network components are interconnected for the services.
In some cases, the services interface component 604 can include service and network models 606-610. The service and network models 606-610 can provide different views of how the services are configured, modeled or structured, and/or provisioned in the network. Moreover, the service and network models 606-610 can depict a services and network structure, as well as any logical, semantic, and/or physical interconnections.
For example, model 606 can include a service model representation. The service model representation can diagram the services provisioned. In some cases, the service model representation 606 can identify network components or devices provisioning the services, and any interconnections or relationships between the components or devices.
Model 608 can include a representation of an overlay topology of the network. The overlay topology can show the overlay structure and interconnections of components or devices provisioning the services.
Model 610 can provide a representation of the underlay topology. The underlay topology can show the underlay or physical structure and interconnections of components or devices provisioning the services.
Other variations with respect to the number and type of models are also contemplated herein. For example, the models can include a service model and an infrastructure model, with or without an overlay or virtualized representation or model. The amount and type of models can also vary based on the particular architecture, services, or settings.
Moreover, the models 606-610 can include respective objects to depict the relevant information in the model. For example, the models 606-610 can include objects such as virtual switches, routers, or appliances; hardware routers or switches; servers; firewalls; network connections; a cloud, such as cloud 150; virtual machines; or any services or appliances, such as web, security, bandwidth, management, or any other service appliance. The objects can be graphical elements representing associated network components or devices.
Workspace 600 can also include other interface components based on the link 528 between the incidents component 512 and the services component 514. For example, workspace 600 can include a VM interface component 612. The VM interface component 612 can contain objects representing VMs in the network. The VM interface component 612 can also identify any incidents associated with the VMs and/or services provisioned by the VMs. For example, the VM interface component 612 can present VMs in the network and identify any services from the services component 604 provisioned by the associated VMs and/or any incidents from the incidents component 602. The VM interface component 612 can also present information associated with each VM object, such as a name, an address, a status, a location, an alert, a setting, etc. In some cases, the VM interface component 612 can show active VMs, inactive VMs, backup VMs, VMs having errors or incidents, overloaded VMs, or any other VM conditions.
The workspace 600 can also include a servers component 614, which can identify servers associated with the incidents or services associated with the link 528. The workspace 600 can also show a devices component 616, which can identify devices associated with the incidents or services associated with link 528. The workspace 600 can also show an event logs component 618, which can identify relevant logs or events, for example. Other interface components are also contemplated herein, such as a location component, a security component, a user accounts component, etc.
As previously mentioned, the components 602, 604, and 612-618 can include objects which can be graphical elements representing specific components, devices, services, appliances, nodes, incidents, or network items. In some embodiments, the components 602, 604, and 612-618 and/or associated objects can also include additional information or details, such as names, addresses, locations, status information, conditions, state information, statistics, resource consumption measurements or representations (e.g., traffic consumption, memory utilization, etc.), data graphs or tables, links, activity data, connectivity details, etc.
Moreover, the components 602, 604, and 612-618 can be used to create new workspaces or augment an active workspace by linking or connecting two or more of the components 602, 604, and 612-618. For example, two or more of the components 602, 604, and 612-618 can be connected to dynamically create a new context or relationship for a new workspace. To illustrate, referring to
Referring to
Other components can be also be connected and/or disconnected to form new workspaces. For example, the servers component 614, the devices component 616, and/or the event logs component 618 can be connected to one or more of the components 602-604, 614-618, and 630 to generate a new workspace based on the context created by the connected components. Thus, such connections can dynamically result in new relationships, contexts, and workspaces. Connected components can also be disconnected to modify a workspace. For example, the new VMs component 630 can be disconnected from the services component 604 to return to workspace 624. The various components in a workspace can be dynamically linked or connected as needed to dynamically generate new visual workspaces for troubleshooting or analyzing a network for a given context.
Having disclosed some basic system components and concepts, the disclosure now turns to the example method embodiments shown in
At step 700, cloud controller 200 can collect network statistics for a network. For example, the cloud controller 200 can monitor and collect traffic from the network to identify specific network statistics. The network statistics can include network conditions or incidents, network activity, network and/or resource consumption, network interconnections, network services, network configurations, device information, server information, appliances, events, etc. In some cases, the cloud controller 200 can be configured to collect and monitor specific network statistics in order to ascertain certain desired network details. For example, the cloud controller 200 can specifically collect and monitor network statistics for one or more physical locations, logical locations, servers, networks, services, etc.
At step 702, the cloud controller 200 can present a first workspace having a first set of interface components. The first workspace can be generated based on the network statistics and/or data about the network. For example, the cloud controller 200 can collect network statistics and use the network statistics to generate a graphical user interface (GUI) displaying the first workspace with the first set of interface components.
Each of the first set of interface components can be an informational view of one or more network elements or events, which can include servers, virtual machines (VMs), services, event logs, parameters, topologies, semantics, locations, and so forth. Moreover, the first set of interface components can contain respective network objects. The network objects can be graphical elements. The graphical elements can represent specific network data and/or items associated with the respective interface components. For example, the network objects can be graphical elements representing services, servers, devices, VMs, events (e.g., incidents, errors, status changes, conditions, security events, etc.), physical or logical network segments, locations, logs, topologies, connections, and so forth.
In some embodiments, the interface components can be tiles, such as tiles 408-418 illustrated in
The number of interface components included in the first workspace can vary based on the network statistics, a user input, system instructions, a context, preferences, and so forth. For example, the number of interface components can be selected, increased, decreased or modified by a user. In some cases, a user can limit the number of interface components presented in the first workspace to focus on fewer, more relevant interface components.
At step 704, the cloud controller 200 can associate interface components from the first set of interface components to yield a network context that is based on a relationship between the associated interface components. For example, the cloud controller 200 can link, connect, or associate an interface component representing servers in the network with another interface component representing incidents in the network. This association between interface components can create a relationship between the associated interface components and can represent a network context. In the above example, the network context can be servers and incidents, based on the relationship or association between the servers component and the incidents component. This network context can be used to create a new workspace, as further detailed below, which can include interface objects related or relevant to the network context (servers and incidents), for example.
In some cases, the cloud controller 200 can associate the selected interface components based on a user input or system instructions. For example, a user can click or select a first interface component on the first workspace and a second interface component on the first workspace to create a link, connection, or association between the two selected interface components. In some embodiments, such link, connection, or association can be visual or graphical. For example, the cloud controller 200 can display a line or object connecting the first selected interface component with the second one. In some embodiments, the cloud controller 200 can also connect, link, or associate an object within an interface component with one or more objects within a second interface component, or an interface component with one or more objects within another interface component. For example, the cloud controller 200 can link a component representing network incidents with a VPN service object within a network services component to create a relationship—and thus a network context—based on incidents in the network and a VPN service in the network.
At step 706, the cloud controller 200 can dynamically present a second workspace including a second set of interface components based on the network context. The cloud controller 200 can present and/or generate the second workspace dynamically in response to the associated interface components and/or based on the network context. For example, if a services interface component is linked to an incidents interface component, the cloud controller 200 can dynamically generate the second workspace based on the services and incidents represented by the connected interface components.
The second set of interface components can represent services, servers, incidents, events, appliances, VMs, logs, devices, locations, users, etc. Moreover, each of the second set of interface components can be based on the network context. For example, if the network context is services and incidents, the second set of interface components can be associated with the network services and/or incidents. To illustrate, assume the second set of interface components includes servers and VMs interface components, such servers and VMs interface components can be associated with the network services and/or incidents represented by the associated interface components. For example, the servers interface component can represent servers provisioning the network services and/or having any of the incidents, and the VMs interface component can similarly represent VMs running the network services and/or having any of the incidents.
Further, each of the second set of interface components can contain one or more network objects. The network objects can be related or relevant to the respective interface components. For example, if an interface component represents servers, the objects can represent servers, server statistics, server status information, server events, server configurations, server conditions, and/or otherwise be associated with the servers. In some embodiments, the network objects can be graphical elements representing the objects. For example, the network objects can be visual representations of servers, devices, network models, service models, VMs, events, etc.
The cloud controller 200 can generate or present further workspaces based other connections, associations, or links between interface components. For example, if a user creates a link between an interface component in the second workspace and another interface component in the second workspace, the cloud controller 200 can dynamically generate or present a third workspace which can be based on the network context or relationship created by the association of the linked or connected interface components from the second workspace. Thus, the user can analyze specific views for sets of interface components by connecting or disconnecting the interface components of interest.
At step 804, the cloud controller 200 can dynamically associate selected interface components from the first set of interface components to yield associated interface components. For example, the cloud controller 200 can associate a services interface component with a servers interface component and an incidents interface component. The association can be based on a user input or a system instruction. For example, the association can be generated based on a user selection of two or more interface components. In some embodiments, users can link or connect two or more interface components via a graphical user interface presented by the cloud controller 200 (e.g., a dashboard) to create the association.
At step 806, the cloud controller 200 can dynamically present a second workspace having a second set of interface components selected based on the associated interface components, where each of the second set of interface components represents a different respective network context related to the associated interface components. The different respective network context can be based on the association between the selected interface components. For example, the different respective network context can be represented by the combination of the associated interface components. Also, each of the second set of interface components can include a second set of objects associated with the different respective network context. For example, the second set of interface components can represent the different respective network context.
In some cases, an interface component from the first set of interface components can represent a same or similar item as an interface component from the second set of interface components. For example, an interface component from the first set of interface components may represent servers while an interface component from the second set of interface components may also represent servers. However, such interface components while representing the same item, may include different objects and/or details based on the different respective network context. For example, if the first workspace and the second workspace both include a servers interface component, the objects and data in each of the servers interface components may still differ. To illustrate, if the different respective network context is modified to include incidents, then the servers interface component in the second workspace can be modified to focus or expand on incidents affecting, or associated with, the servers. In this way, the second workspace can include interface components that represent the same category of items as other interface components in the first workspace but may otherwise include different objects and/or levels of detail.
Example Devices
The interfaces 968 are typically provided as interface cards (sometimes referred to as “line cards”). Generally, they control the sending and receiving of data packets over the network and sometimes support other peripherals used with the router 910. Among the interfaces that may be provided are Ethernet interfaces, frame relay interfaces, cable interfaces, DSL interfaces, token ring interfaces, and the like. In addition, various very high-speed interfaces may be provided such as fast token ring interfaces, wireless interfaces, Ethernet interfaces, Gigabit Ethernet interfaces, ATM interfaces, HSSI interfaces, POS interfaces, FDDI interfaces and the like. Generally, these interfaces may include ports appropriate for communication with the appropriate media. In some cases, they may also include an independent processor and, in some instances, volatile RAM. The independent processors may control such communications intensive tasks as packet switching, media control and management. By providing separate processors for the communications intensive tasks, these interfaces allow the master microprocessor 962 to efficiently perform routing computations, network diagnostics, security functions, etc.
Although the system shown in
Regardless of the network device's configuration, it may employ one or more memories or memory modules (including memory 961) configured to store program instructions for the general-purpose network operations and mechanisms for roaming, route optimization and routing functions described herein. The program instructions may control the operation of an operating system and/or one or more applications, for example. The memory or memories may also be configured to store tables such as mobility binding, registration, and association tables, etc.
To enable user interaction with the computing device 1000, an input device 1045 can represent any number of input mechanisms, such as a microphone for speech, a touch-sensitive screen for gesture or graphical input, keyboard, mouse, motion input, speech and so forth. An output device 1035 can also be one or more of a number of output mechanisms known to those of skill in the art. In some instances, multimodal systems can enable a user to provide multiple types of input to communicate with the computing device 1000. The communications interface 1040 can generally govern and manage the user input and system output. There is no restriction on operating on any particular hardware arrangement and therefore the basic features here may easily be substituted for improved hardware or firmware arrangements as they are developed.
Storage device 1030 is a non-volatile memory and can be a hard disk or other types of computer readable media which can store data that are accessible by a computer, such as magnetic cassettes, flash memory cards, solid state memory devices, digital versatile disks, cartridges, random access memories (RAMs) 1035, read only memory (ROM) 1020, and hybrids thereof.
The storage device 1030 can include software modules 1032, 1034, 1036 for controlling the processor 1010. Other hardware or software modules are contemplated. The storage device 1030 can be connected to the system bus 1005. In one aspect, a hardware module that performs a particular function can include the software component stored in a computer-readable medium in connection with the necessary hardware components, such as the processor 1010, bus 1005, display 1035, and so forth, to carry out the function.
Chipset 1060 can also interface with one or more communication interfaces 1090 that can have different physical interfaces. Such communication interfaces can include interfaces for wired and wireless local area networks, for broadband wireless networks, as well as personal area networks. Some applications of the methods for generating, displaying, and using the GUI disclosed herein can include receiving ordered datasets over the physical interface or be generated by the machine itself by processor 1055 analyzing data stored in storage 1070 or 1075. Further, the machine can receive inputs from a user via user interface components 1085 and execute appropriate functions, such as browsing functions by interpreting these inputs using processor 1055.
It can be appreciated that example systems 1000 and 1050 can have more than one processor 1010 or be part of a group or cluster of computing devices networked together to provide greater processing capability.
For clarity of explanation, in some instances the present technology may be presented as including individual functional blocks including functional blocks comprising devices, device components, steps or routines in a method embodied in software, or combinations of hardware and software.
In some embodiments the computer-readable storage devices, mediums, and memories can include a cable or wireless signal containing a bit stream and the like. However, when mentioned, non-transitory computer-readable storage media expressly exclude media such as energy, carrier signals, electromagnetic waves, and signals per se.
Methods according to the above-described examples can be implemented using computer-executable instructions that are stored or otherwise available from computer readable media. Such instructions can comprise, for example, instructions and data which cause or otherwise configure a general purpose computer, special purpose computer, or special purpose processing device to perform a certain function or group of functions. Portions of computer resources used can be accessible over a network. The computer executable instructions may be, for example, binaries, intermediate format instructions such as assembly language, firmware, or source code. Examples of computer-readable media that may be used to store instructions, information used, and/or information created during methods according to described examples include magnetic or optical disks, flash memory, USB devices provided with non-volatile memory, networked storage devices, and so on.
Devices implementing methods according to these disclosures can comprise hardware, firmware and/or software, and can take any of a variety of form factors. Typical examples of such form factors include laptops, smart phones, small form factor personal computers, personal digital assistants, rackmount devices, standalone devices, and so on. Functionality described herein also can be embodied in peripherals or add-in cards. Such functionality can also be implemented on a circuit board among different chips or different processes executing in a single device, by way of further example.
The instructions, media for conveying such instructions, computing resources for executing them, and other structures for supporting such computing resources are means for providing the functions described in these disclosures.
Although a variety of examples and other information was used to explain aspects within the scope of the appended claims, no limitation of the claims should be implied based on particular features or arrangements in such examples, as one of ordinary skill would be able to use these examples to derive a wide variety of implementations. Further and although some subject matter may have been described in language specific to examples of structural features and/or method steps, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to these described features or acts. For example, such functionality can be distributed differently or performed in components other than those identified herein. Rather, the described features and steps are disclosed as examples of components of systems and methods within the scope of the appended claims. Moreover, claim language reciting “at least one of” a set indicates that one member of the set or multiple members of the set satisfy the claim.
This application is a continuation in part of U.S. Non-Provisional patent application Ser. No. 14/732,995, filed on Jun. 8, 2015, and claims the benefit of priority of U.S. Provisional Patent Application Ser. No. 62/126,014, filed on Feb. 27, 2015 and U.S. Provisional Patent Application Ser. No. 62/121,999, filed on Feb. 27, 2015; all of which are incorporated herein by reference in their entirety.
Number | Name | Date | Kind |
---|---|---|---|
5504921 | Dev | Apr 1996 | A |
5812773 | Norin | Sep 1998 | A |
5889896 | Meshinsky et al. | Mar 1999 | A |
6108782 | Fletcher et al. | Aug 2000 | A |
6178453 | Mattaway et al. | Jan 2001 | B1 |
6298153 | Oishi | Oct 2001 | B1 |
6343290 | Cossins | Jan 2002 | B1 |
6643260 | Kloth et al. | Nov 2003 | B1 |
6683873 | Kwok et al. | Jan 2004 | B1 |
6721804 | Rubin et al. | Apr 2004 | B1 |
6733449 | Krishnamurthy et al. | May 2004 | B1 |
6735631 | Oehrke et al. | May 2004 | B1 |
6996615 | McGuire | Feb 2006 | B1 |
7054930 | Cheriton | May 2006 | B1 |
7058706 | Lyer et al. | Jun 2006 | B1 |
7062571 | Dale et al. | Jun 2006 | B1 |
7111177 | Chauvel et al. | Sep 2006 | B1 |
7212490 | Kao et al. | May 2007 | B1 |
7277948 | Igarashi et al. | Oct 2007 | B2 |
7313667 | Pullela et al. | Dec 2007 | B1 |
7379846 | Williams et al. | May 2008 | B1 |
7480672 | Hahn et al. | Jan 2009 | B2 |
7496043 | Leong et al. | Feb 2009 | B1 |
7536476 | Alleyne | May 2009 | B1 |
7567504 | Darling et al. | Jul 2009 | B2 |
7606147 | Luft et al. | Oct 2009 | B2 |
7647594 | Togawa | Jan 2010 | B2 |
7773510 | Back et al. | Aug 2010 | B2 |
7808897 | Mehta et al. | Oct 2010 | B1 |
7881957 | Cohen et al. | Feb 2011 | B1 |
7917647 | Cooper et al. | Mar 2011 | B2 |
8010598 | Tanimoto | Aug 2011 | B2 |
8028071 | Mahalingam et al. | Sep 2011 | B1 |
8041714 | Aymeloglu et al. | Oct 2011 | B2 |
8121117 | Amdahl et al. | Feb 2012 | B1 |
8171415 | Appleyard et al. | May 2012 | B2 |
8234377 | Cohn | Jul 2012 | B2 |
8244559 | Horvitz et al. | Aug 2012 | B2 |
8250215 | Stienhans et al. | Aug 2012 | B2 |
8280880 | Aymeloglu et al. | Oct 2012 | B1 |
8284664 | Aybay et al. | Oct 2012 | B1 |
8301746 | Head et al. | Oct 2012 | B2 |
8345692 | Smith | Jan 2013 | B2 |
8406141 | Couturier et al. | Mar 2013 | B1 |
8407413 | Yucel et al. | Mar 2013 | B1 |
8448171 | Donnellan et al. | May 2013 | B2 |
8477610 | Zuo et al. | Jul 2013 | B2 |
8495356 | Ashok et al. | Jul 2013 | B2 |
8510469 | Portolani | Aug 2013 | B2 |
8514868 | Hill | Aug 2013 | B2 |
8532108 | Li et al. | Sep 2013 | B2 |
8533687 | Greifeneder et al. | Sep 2013 | B1 |
8547974 | Guruswamy et al. | Oct 2013 | B1 |
8560639 | Murphy et al. | Oct 2013 | B2 |
8560663 | Baucke et al. | Oct 2013 | B2 |
8589543 | Dutta et al. | Nov 2013 | B2 |
8590050 | Nagpal et al. | Nov 2013 | B2 |
8611356 | Yu et al. | Dec 2013 | B2 |
8612625 | Andreis et al. | Dec 2013 | B2 |
8630291 | Shaffer et al. | Jan 2014 | B2 |
8639787 | Lagergren et al. | Jan 2014 | B2 |
8656024 | Krishnan et al. | Feb 2014 | B2 |
8660129 | Brendel et al. | Feb 2014 | B1 |
8719804 | Jain | May 2014 | B2 |
8775576 | Hebert et al. | Jul 2014 | B2 |
8797867 | Chen et al. | Aug 2014 | B1 |
8805951 | Faibish et al. | Aug 2014 | B1 |
8850182 | Fritz et al. | Sep 2014 | B1 |
8856339 | Mestery et al. | Oct 2014 | B2 |
8909928 | Ahmad et al. | Dec 2014 | B2 |
8918510 | Gmach et al. | Dec 2014 | B2 |
8924720 | Raghuram et al. | Dec 2014 | B2 |
8930747 | Levijarvi et al. | Jan 2015 | B2 |
8938775 | Roth et al. | Jan 2015 | B1 |
8959526 | Kansal et al. | Feb 2015 | B2 |
8977754 | Curry, Jr. et al. | Mar 2015 | B2 |
9009697 | Breiter et al. | Apr 2015 | B2 |
9015324 | Jackson | Apr 2015 | B2 |
9043439 | Bicket et al. | May 2015 | B2 |
9049115 | Rajendran et al. | Jun 2015 | B2 |
9063789 | Beaty et al. | Jun 2015 | B2 |
9065727 | Liu et al. | Jun 2015 | B1 |
9075649 | Bushman et al. | Jul 2015 | B1 |
9164795 | Vincent | Oct 2015 | B1 |
9167050 | Durazzo et al. | Oct 2015 | B2 |
9201701 | Boldyrev et al. | Dec 2015 | B2 |
9201704 | Chang et al. | Dec 2015 | B2 |
9203784 | Chang et al. | Dec 2015 | B2 |
9223634 | Chang et al. | Dec 2015 | B2 |
9244776 | Koza et al. | Jan 2016 | B2 |
9251114 | Ancin et al. | Feb 2016 | B1 |
9264478 | Hon et al. | Feb 2016 | B2 |
9313048 | Chang et al. | Apr 2016 | B2 |
9361192 | Smith et al. | Jun 2016 | B2 |
9380075 | He et al. | Jun 2016 | B2 |
9432294 | Sharma et al. | Aug 2016 | B1 |
9444744 | Sharma et al. | Sep 2016 | B1 |
9473365 | Melander et al. | Oct 2016 | B2 |
9503530 | Niedzielski | Nov 2016 | B1 |
9558078 | Farlee et al. | Jan 2017 | B2 |
9613078 | Vermeulen et al. | Apr 2017 | B2 |
9628471 | Sundaram et al. | Apr 2017 | B1 |
9658876 | Chang et al. | May 2017 | B2 |
9692802 | Bicket et al. | Jun 2017 | B2 |
9755858 | Bagepalli et al. | Sep 2017 | B2 |
20020073337 | Ioele et al. | Jun 2002 | A1 |
20020143928 | Maltz et al. | Oct 2002 | A1 |
20020166117 | Abrams | Nov 2002 | A1 |
20020174216 | Shorey et al. | Nov 2002 | A1 |
20030018591 | Komisky | Jan 2003 | A1 |
20030056001 | Mate et al. | Mar 2003 | A1 |
20030228585 | Inoko et al. | Dec 2003 | A1 |
20040004941 | Malan et al. | Jan 2004 | A1 |
20040095237 | Chen et al. | May 2004 | A1 |
20040131059 | Ayyakad et al. | Jul 2004 | A1 |
20040264481 | Darling et al. | Dec 2004 | A1 |
20050004945 | Cossins | Jan 2005 | A1 |
20050060418 | Sorokopud | Mar 2005 | A1 |
20050125424 | Herriott et al. | Jun 2005 | A1 |
20060104286 | Cheriton | May 2006 | A1 |
20060126665 | Ward et al. | Jun 2006 | A1 |
20060146825 | Hofstaedter et al. | Jul 2006 | A1 |
20060155875 | Cheriton | Jul 2006 | A1 |
20060168338 | Bruegl et al. | Jul 2006 | A1 |
20070174663 | Crawford et al. | Jul 2007 | A1 |
20070223487 | Kajekar et al. | Sep 2007 | A1 |
20070242830 | Conrado et al. | Oct 2007 | A1 |
20080005293 | Bhargava et al. | Jan 2008 | A1 |
20080084880 | Dharwadkar | Apr 2008 | A1 |
20080165778 | Ertemalp | Jul 2008 | A1 |
20080198752 | Fan et al. | Aug 2008 | A1 |
20080201711 | Amir Husain | Aug 2008 | A1 |
20080235755 | Blaisdell et al. | Sep 2008 | A1 |
20090006527 | Gingell, Jr. et al. | Jan 2009 | A1 |
20090019367 | Cavagnari et al. | Jan 2009 | A1 |
20090031312 | Mausolf et al. | Jan 2009 | A1 |
20090083183 | Rao et al. | Mar 2009 | A1 |
20090138763 | Arnold | May 2009 | A1 |
20090177775 | Radia et al. | Jul 2009 | A1 |
20090178058 | Stillwell, III et al. | Jul 2009 | A1 |
20090182874 | Morford et al. | Jul 2009 | A1 |
20090265468 | Annambhotla et al. | Oct 2009 | A1 |
20090265753 | Anderson et al. | Oct 2009 | A1 |
20090293056 | Ferris | Nov 2009 | A1 |
20090300608 | Ferris et al. | Dec 2009 | A1 |
20090313562 | Appleyard | Dec 2009 | A1 |
20090323706 | Germain et al. | Dec 2009 | A1 |
20090328031 | Pouyadou et al. | Dec 2009 | A1 |
20100042720 | Stienhans et al. | Feb 2010 | A1 |
20100061250 | Nugent | Mar 2010 | A1 |
20100115341 | Baker et al. | May 2010 | A1 |
20100131765 | Bromley et al. | May 2010 | A1 |
20100191783 | Mason et al. | Jul 2010 | A1 |
20100192157 | Jackson et al. | Jul 2010 | A1 |
20100205601 | Abbas et al. | Aug 2010 | A1 |
20100211782 | Auradkar et al. | Aug 2010 | A1 |
20100293270 | Augenstein et al. | Nov 2010 | A1 |
20100318609 | Lahiri et al. | Dec 2010 | A1 |
20100325199 | Park et al. | Dec 2010 | A1 |
20100325441 | Laurie et al. | Dec 2010 | A1 |
20100333116 | Prahlad et al. | Dec 2010 | A1 |
20110016214 | Jackson | Jan 2011 | A1 |
20110035754 | Srinivasan | Feb 2011 | A1 |
20110055396 | Dehaan | Mar 2011 | A1 |
20110055398 | Dehaan et al. | Mar 2011 | A1 |
20110055470 | Portolani | Mar 2011 | A1 |
20110072489 | Parann-Nissany | Mar 2011 | A1 |
20110075667 | Li et al. | Mar 2011 | A1 |
20110110382 | Jabr et al. | May 2011 | A1 |
20110116443 | Yu et al. | May 2011 | A1 |
20110126099 | Anderson et al. | May 2011 | A1 |
20110138055 | Daly et al. | Jun 2011 | A1 |
20110145413 | Dawson et al. | Jun 2011 | A1 |
20110145657 | Bishop et al. | Jun 2011 | A1 |
20110173303 | Rider | Jul 2011 | A1 |
20110185063 | Head et al. | Jul 2011 | A1 |
20110213966 | Fu et al. | Sep 2011 | A1 |
20110219434 | Betz et al. | Sep 2011 | A1 |
20110231715 | Kunii et al. | Sep 2011 | A1 |
20110231899 | Pulier et al. | Sep 2011 | A1 |
20110239039 | Dieffenbach et al. | Sep 2011 | A1 |
20110252327 | Awasthi | Oct 2011 | A1 |
20110261811 | Battestilli et al. | Oct 2011 | A1 |
20110261828 | Smith | Oct 2011 | A1 |
20110276675 | Singh et al. | Nov 2011 | A1 |
20110276951 | Jain | Nov 2011 | A1 |
20110295998 | Ferris et al. | Dec 2011 | A1 |
20110305149 | Scott et al. | Dec 2011 | A1 |
20110307531 | Gaponenko et al. | Dec 2011 | A1 |
20110320870 | Kenigsberg et al. | Dec 2011 | A1 |
20120005724 | Lee | Jan 2012 | A1 |
20120054367 | Ramakrishnan et al. | Mar 2012 | A1 |
20120072318 | Akiyama et al. | Mar 2012 | A1 |
20120072578 | Alam | Mar 2012 | A1 |
20120072581 | Tung et al. | Mar 2012 | A1 |
20120072985 | Davne et al. | Mar 2012 | A1 |
20120072992 | Arasaratnam et al. | Mar 2012 | A1 |
20120084445 | Brock et al. | Apr 2012 | A1 |
20120084782 | Chou et al. | Apr 2012 | A1 |
20120096134 | Suit | Apr 2012 | A1 |
20120102193 | Rathore et al. | Apr 2012 | A1 |
20120102199 | Hopmann et al. | Apr 2012 | A1 |
20120131174 | Ferris et al. | May 2012 | A1 |
20120137215 | Kawara | May 2012 | A1 |
20120158967 | Sedayao et al. | Jun 2012 | A1 |
20120159097 | Jennas, II et al. | Jun 2012 | A1 |
20120167094 | Suit | Jun 2012 | A1 |
20120173710 | Rodriguez | Jul 2012 | A1 |
20120179909 | Sagi et al. | Jul 2012 | A1 |
20120180044 | Donnellan et al. | Jul 2012 | A1 |
20120182891 | Lee et al. | Jul 2012 | A1 |
20120185913 | Martinez et al. | Jul 2012 | A1 |
20120192016 | Gotesdyner | Jul 2012 | A1 |
20120192075 | Ebtekar | Jul 2012 | A1 |
20120201135 | Ding et al. | Aug 2012 | A1 |
20120214506 | Skaaksrud et al. | Aug 2012 | A1 |
20120222106 | Kuehl | Aug 2012 | A1 |
20120236716 | Anbazhagan et al. | Sep 2012 | A1 |
20120240113 | Hur | Sep 2012 | A1 |
20120265976 | Spiers et al. | Oct 2012 | A1 |
20120272025 | Park et al. | Oct 2012 | A1 |
20120281706 | Agarwal et al. | Nov 2012 | A1 |
20120281708 | Chauhan et al. | Nov 2012 | A1 |
20120290647 | Ellison et al. | Nov 2012 | A1 |
20120297238 | Watson et al. | Nov 2012 | A1 |
20120311106 | Morgan | Dec 2012 | A1 |
20120311568 | Jansen | Dec 2012 | A1 |
20120324092 | Brown et al. | Dec 2012 | A1 |
20120324114 | Dutta et al. | Dec 2012 | A1 |
20130003567 | Gallant et al. | Jan 2013 | A1 |
20130013248 | Brugler et al. | Jan 2013 | A1 |
20130036213 | Hasan et al. | Feb 2013 | A1 |
20130044636 | Koponen et al. | Feb 2013 | A1 |
20130066940 | Shao | Mar 2013 | A1 |
20130080509 | Wang | Mar 2013 | A1 |
20130080624 | Nagai et al. | Mar 2013 | A1 |
20130091557 | Gurrapu | Apr 2013 | A1 |
20130097601 | Podvratnik et al. | Apr 2013 | A1 |
20130104140 | Meng et al. | Apr 2013 | A1 |
20130111540 | Sabin | May 2013 | A1 |
20130117337 | Dunham | May 2013 | A1 |
20130124712 | Parker | May 2013 | A1 |
20130125124 | Kempf et al. | May 2013 | A1 |
20130138816 | Kuo et al. | May 2013 | A1 |
20130144978 | Jain et al. | Jun 2013 | A1 |
20130152076 | Patel | Jun 2013 | A1 |
20130152175 | Hromoko et al. | Jun 2013 | A1 |
20130159097 | Schory et al. | Jun 2013 | A1 |
20130159496 | Hamilton et al. | Jun 2013 | A1 |
20130160008 | Cawlfield et al. | Jun 2013 | A1 |
20130162753 | Hendrickson et al. | Jun 2013 | A1 |
20130169666 | Pacheco et al. | Jul 2013 | A1 |
20130179941 | McGloin et al. | Jul 2013 | A1 |
20130182712 | Aguayo et al. | Jul 2013 | A1 |
20130185433 | Zhu et al. | Jul 2013 | A1 |
20130191106 | Kephart et al. | Jul 2013 | A1 |
20130198374 | Zalmanovitch | Aug 2013 | A1 |
20130204849 | Chacko | Aug 2013 | A1 |
20130232491 | Radhakrishnan et al. | Sep 2013 | A1 |
20130246588 | Borowicz et al. | Sep 2013 | A1 |
20130250770 | Zou et al. | Sep 2013 | A1 |
20130254415 | Fullen et al. | Sep 2013 | A1 |
20130262347 | Dodson | Oct 2013 | A1 |
20130283364 | Chang et al. | Oct 2013 | A1 |
20130297769 | Chang et al. | Nov 2013 | A1 |
20130318240 | Hebert et al. | Nov 2013 | A1 |
20130318546 | Kothuri et al. | Nov 2013 | A1 |
20130339949 | Spiers et al. | Dec 2013 | A1 |
20140006481 | Frey et al. | Jan 2014 | A1 |
20140006535 | Reddy | Jan 2014 | A1 |
20140006585 | Dunbar et al. | Jan 2014 | A1 |
20140040473 | Ho et al. | Feb 2014 | A1 |
20140040883 | Tompkins | Feb 2014 | A1 |
20140052877 | Mao | Feb 2014 | A1 |
20140059310 | Du et al. | Feb 2014 | A1 |
20140074850 | Noel et al. | Mar 2014 | A1 |
20140075048 | Yuksel et al. | Mar 2014 | A1 |
20140075108 | Dong et al. | Mar 2014 | A1 |
20140075357 | Flores et al. | Mar 2014 | A1 |
20140075501 | Srinivasan et al. | Mar 2014 | A1 |
20140089727 | Cherkasova et al. | Mar 2014 | A1 |
20140098762 | Ghai et al. | Apr 2014 | A1 |
20140108985 | Scott et al. | Apr 2014 | A1 |
20140122560 | Ramey et al. | May 2014 | A1 |
20140136779 | Guha et al. | May 2014 | A1 |
20140140211 | Chandrasekaran et al. | May 2014 | A1 |
20140141720 | Princen et al. | May 2014 | A1 |
20140156557 | Zeng et al. | Jun 2014 | A1 |
20140164486 | Ravichandran et al. | Jun 2014 | A1 |
20140188825 | Muthukkaruppan et al. | Jul 2014 | A1 |
20140189095 | Lindberg et al. | Jul 2014 | A1 |
20140189125 | Amies et al. | Jul 2014 | A1 |
20140215471 | Cherkasova | Jul 2014 | A1 |
20140222953 | Karve et al. | Aug 2014 | A1 |
20140244851 | Lee | Aug 2014 | A1 |
20140245298 | Zhou et al. | Aug 2014 | A1 |
20140282536 | Dave et al. | Sep 2014 | A1 |
20140282611 | Campbell et al. | Sep 2014 | A1 |
20140282889 | Ishaya et al. | Sep 2014 | A1 |
20140289200 | Kato | Sep 2014 | A1 |
20140297569 | Clark | Oct 2014 | A1 |
20140297835 | Buys | Oct 2014 | A1 |
20140310605 | Basile | Oct 2014 | A1 |
20140314078 | Jilani | Oct 2014 | A1 |
20140317261 | Shatzkamer et al. | Oct 2014 | A1 |
20140366155 | Chang et al. | Dec 2014 | A1 |
20140372567 | Ganesh et al. | Dec 2014 | A1 |
20150033086 | Sasturkar et al. | Jan 2015 | A1 |
20150043576 | Dixon et al. | Feb 2015 | A1 |
20150052247 | Threefoot et al. | Feb 2015 | A1 |
20150052517 | Raghu et al. | Feb 2015 | A1 |
20150058382 | St. Laurent et al. | Feb 2015 | A1 |
20150058459 | Amendjian et al. | Feb 2015 | A1 |
20150071285 | Kumar et al. | Mar 2015 | A1 |
20150100471 | Curry, Jr. et al. | Apr 2015 | A1 |
20150106802 | Ivanov et al. | Apr 2015 | A1 |
20150106805 | Melander et al. | Apr 2015 | A1 |
20150117199 | Chinnaiah Sankaran et al. | Apr 2015 | A1 |
20150117458 | Gurkan et al. | Apr 2015 | A1 |
20150120914 | Wada et al. | Apr 2015 | A1 |
20150178133 | Phelan et al. | Jun 2015 | A1 |
20150215819 | Bosch et al. | Jul 2015 | A1 |
20150227405 | Jan et al. | Aug 2015 | A1 |
20150242204 | Hassine et al. | Aug 2015 | A1 |
20150249709 | Teng et al. | Sep 2015 | A1 |
20150280980 | Bitar | Oct 2015 | A1 |
20150281067 | Wu | Oct 2015 | A1 |
20150281113 | Siciliano et al. | Oct 2015 | A1 |
20150309908 | Pearson et al. | Oct 2015 | A1 |
20150319063 | Zourzouvillys et al. | Nov 2015 | A1 |
20150326524 | Tankala et al. | Nov 2015 | A1 |
20150339210 | Kopp et al. | Nov 2015 | A1 |
20150373108 | Fleming et al. | Dec 2015 | A1 |
20160011925 | Kulkarni et al. | Jan 2016 | A1 |
20160013990 | Kulkarni et al. | Jan 2016 | A1 |
20160062786 | Meng et al. | Mar 2016 | A1 |
20160094398 | Choudhury et al. | Mar 2016 | A1 |
20160094480 | Kulkarni et al. | Mar 2016 | A1 |
20160094643 | Jain et al. | Mar 2016 | A1 |
20160099847 | Melander et al. | Apr 2016 | A1 |
20160105393 | Thakkar et al. | Apr 2016 | A1 |
20160127184 | Bursell | May 2016 | A1 |
20160134557 | Steinder et al. | May 2016 | A1 |
20160164914 | Madhav et al. | Jun 2016 | A1 |
20160182327 | Coleman, Jr. | Jun 2016 | A1 |
20160188527 | Cherian et al. | Jun 2016 | A1 |
20160234071 | Nambiar et al. | Aug 2016 | A1 |
20160239399 | Babu et al. | Aug 2016 | A1 |
20160253078 | Ebtekar et al. | Sep 2016 | A1 |
20160261564 | Foxhoven et al. | Sep 2016 | A1 |
20160277368 | Narayanaswamy et al. | Sep 2016 | A1 |
20170005948 | Melander et al. | Jan 2017 | A1 |
20170024260 | Chandrasekaran et al. | Jan 2017 | A1 |
20170026470 | Bhargava et al. | Jan 2017 | A1 |
20170041342 | Efremov et al. | Feb 2017 | A1 |
20170054659 | Ergin et al. | Feb 2017 | A1 |
20170097841 | Chang et al. | Apr 2017 | A1 |
20170099188 | Chang et al. | Apr 2017 | A1 |
20170104755 | Arregoces et al. | Apr 2017 | A1 |
20170147297 | Krishnamurthy | May 2017 | A1 |
20170171158 | Hoy et al. | Jun 2017 | A1 |
20170264663 | Bicket et al. | Sep 2017 | A1 |
20170339070 | Chang et al. | Nov 2017 | A1 |
Number | Date | Country |
---|---|---|
101719930 | Jun 2010 | CN |
101394360 | Jul 2011 | CN |
102164091 | Aug 2011 | CN |
104320342 | Jan 2015 | CN |
105740084 | Jul 2016 | CN |
2228719 | Sep 2010 | EP |
2439637 | Apr 2012 | EP |
2645253 | Nov 2014 | EP |
10-2015-0070676 | May 2015 | KR |
M394537 | Dec 2010 | TW |
WO 2009155574 | Dec 2009 | WO |
WO 2010030915 | Mar 2010 | WO |
WO 2013158707 | Oct 2013 | WO |
Entry |
---|
Amedro, Brian, et al., “An Efficient Framework for Running Applications on Clusters, Grids and Cloud,” 2010, 17 pages. |
Author Unknown, “A Look at DeltaCloud: The Multi-Cloud API,” Feb. 17, 2012, 4 pages. |
Author Unknown, “About Deltacloud,” Apache Software Foundation, Aug. 18, 2013, 1 page. |
Author Unknown, “Architecture for Managing Clouds, A White Paper from the Open Cloud Standards Incubator,” Version 1.0.0, Document No. DSP-IS0102, Jun. 18, 2010, 57 pages. |
Author Unknown, “Cloud Infrastructure Management Interface—Common Information Model (CIMI-CIM),” Document No. DSP0264, Version 1.0.0, Dec. 14, 2012, 21 pages. |
Author Unknown, “Cloud Infrastructure Management Interface (CIMI) Primer,” Document No. DSP2027, Version 1.0.1, Sep. 12, 2012, 30 pages. |
Author Unknown, “cloudControl Documentation,” Aug. 25, 2013, 14 pages. |
Author Unknown, “Interoperable Clouds, A White Paper from the Open Cloud Standards Incubator,” Version 1.0.0, Document No. DSP-IS0101, Nov. 11, 2009, 21 pages. |
Author Unknown, “Microsoft Cloud Edge Gateway (MCE) Series Appliance,” Iron Networks, Inc., 2014, 4 pages. |
Author Unknown, “Use Cases and Interactions for Managing Clouds, A White Paper from the Open Cloud Standards Incubator,” Version 1.0.0, Document No. DSP-ISO0103, Jun. 16, 2010, 75 pages. |
Author Unknown, “Apache Ambari Meetup What's New,” Hortonworks Inc., Sep. 2013, 28 pages. |
Author Unknown, “Introduction,” Apache Ambari project, Apache Software Foundation, 2014, 1 page. |
Citrix, “Citrix StoreFront 2.0” White Paper, Proof of Concept Implementation Guide, Citrix Systems, Inc., 2013, 48 pages. |
Citrix, “CloudBridge for Microsoft Azure Deployment Guide,” 30 pages. |
Citrix, “Deployment Practices and Guidelines for NetScaler 10.5 on Amazon Web Services,” White Paper, citrix.com, 2014, 14 pages. |
Gedymin, Adam, “Cloud Computing with an emphasis on Google App Engine,” Sep. 2011, 146 pages. |
Good, Nathan A., “Use Apache Deltacloud to administer multiple instances with a single API,” Dec. 17, 2012, 7 pages. |
Kunz, Thomas, et al., “OmniCloud—The Secure and Flexible Use of Cloud Storage Services,” 2014, 30 pages. |
Logan, Marcus, “Hybrid Cloud Application Architecture for Elastic Java-Based Web Applications,” F5 Deployment Guide Version 1.1, 2016, 65 pages. |
Lynch, Sean, “Monitoring cache with Claspin” Facebook Engineering, Sep. 19, 2012, 5 pages. |
Meireles, Fernando Miguel Dias, “Integrated Management of Cloud Computing Resources,” 2013-2014, 286 pages. |
Mu, Shuai, et al., “uLibCloud: Providing High Available and Uniform Accessing to Multiple Cloud Storages,” 2012 IEEE, 8 pages. |
Sun, Aobing, et al., “IaaS Public Cloud Computing Platform Scheduling Model and Optimization Analysis,” Int. J. Communications, Network and System Sciences, 2011, 4, 803-811, 9 pages. |
Szymaniak, Michal, et al., “Latency-Driven Replica Placement”, vol. 47 No. 8, IPSJ Journal, Aug. 2006, 12 pages. |
Toews, Everett, “Introduction to Apache jclouds,” Apr. 7, 2014, 23 pages. |
Von Laszewski, Gregor, et al., “Design of a Dynamic Provisioning System for a Federated Cloud and Bare-metal Environment,” 2012, 8 pages. |
Ye, Xianglong, et al., “A Novel Blocks Placement Strategy for Hadoop,” 2012 IEEE/ACTS 11th International Conference on Computer and Information Science, 2012 IEEE, 5 pages. |
Author Unknown, “5 Benefits of a Storage Gateway in the Cloud,” Blog, TwinStrata, Inc., Jul. 25, 2012, XP055141645, 4 pages, https://web.archive.org/web/20120725092619/http://blog.twinstrata.com/2012/07/10//5-benefits-of-a-storage-qateway-in-the-cloud. |
Author Unknown, “Joint Cisco and VMWare Solution for Optimizing Virtual Desktop Delivery: Data Center 3.0: Solutions to Accelerate Data Center Virtualization,” Cisco Systems, Inc. and VMware, Inc., Sep. 2008, 10 pages. |
Author Unknown, “Open Data Center Alliance Usage: Virtual Machine (VM) Interoperability in a Hybrid Cloud Environment Rev. 1.2,” Open Data Center Alliance, Inc., 2013, 18 pages. |
Author Unknown, “Real-Time Performance Monitoring on Juniper Networks Devices, Tips and Tools for Assessing and Analyzing Network Efficiency,” Juniper Networks, Inc., May 2010, 35 pages. |
Beyer, Steffen, “Module “Data::Locations?!”,” YAPC::Europe, London, UK,ICA, Sep. 22-24, 2000, XP002742700, 15 pages. |
Borovick, Lucinda, et al., “Architecting the Network for the Cloud,” IDC White Paper, Jan. 2011, 8 pages. |
Bosch, Greg, “Virtualization,” last modified Apr. 2012 by B. Davison, 33 pages. |
Broadcasters Audience Research Board, “What's Next,” http://lwww.barb.co.uk/whats-next, accessed Jul. 22, 2015, 2 pages. |
Cisco Systems, Inc. “Best Practices in Deploying Cisco Nexus 1000V Series Switches on Cisco UCS B and C Series Cisco UCS Manager Servers,” Cisco White Paper, Apr. 2011, 36 pages, http://www.cisco.com/en/US/prod/collateral/switches/ps9441/ps9902/white_paper_c11-558242.pdf. |
Cisco Systems, Inc., “Cisco Unified Network Services: Overcome Obstacles to Cloud-Ready Deployments,” Cisco White Paper, Jan. 2011, 6 pages. |
Cisco Systems, Inc., “Cisco Intercloud Fabric: Hybrid Cloud with Choice, Consistency, Control and Compliance,” Dec. 10, 2014, 22 pages. |
Cisco Technology, Inc., “Cisco Expands Videoscape TV Platform Into the Cloud,” Jan. 6, 2014, Las Vegas, Nevada, Press Release, 3 pages. |
CSS Corp, “Enterprise Cloud Gateway (ECG)—Policy driven framework for managing multi-cloud environments,” original published on or about Feb. 11, 2012; 1 page; http://www.css-cloud.com/platform/enterprise-cloud-qateway.php. |
Fang K., “LISP MAC-EID-TO-RLOC Mapping (LISP based L2VPN),” Network Working Group, Internet Draft, Cisco Systems, Jan. 2012, 12 pages. |
Herry, William, “Keep It Simple, Stupid: OpenStack nova-scheduler and its algorithm”, May 12, 2012, IBM, 12 pages. |
Hewlett-Packard Company, “Virtual context management on network devices”, Research Disclosure, vol. 564, No. 60, Apr. 1, 2011, Mason Publications, Hampshire, GB, Apr. 1, 2011, 524. |
Juniper Networks, Inc., “Recreating Real Application Traffic in Junosphere Lab,” Solution Brief, Dec. 2011, 3 pages. |
Kenhui, “Musings on Cloud Computing and IT-as-a-Service: [Updated for Havana] Openstack Computer for VSphere Admins, Part 2: Nova-Scheduler and DRS”, Jun. 26, 2013, Cloud Architect Musings, 12 pages. |
Kolyshkin, Kirill, “Virtualization in Linux,” Sep. 1, 2006, XP055141648, 5 pages, https://web.archive.org/web/20070120205111/http://download.openvz.org/doc/openvz-intro.pdf. |
Lerach, S.R.O., “Golem,” http://www.lerach.cz/en/products/golem, accessed Jul. 22, 2015, 2 pages. |
Linthicum, David, “VM Import could be a game changer for hybrid clouds”, InfoWorld, Dec. 23, 2010, 4 pages. |
Naik, Vijay K., et al., “Harmony: A Desktop Grid for Delivering Enterprise Computations,” Grid Computing, 2003, Fourth International Workshop on Proceedings, Nov. 17, 2003, pp. 1-11. |
Nair, Srijith K. et al., “Towards Secure Cloud Bursting, Brokerage and Aggregation,” 2012, 8 pages, www.flexiant.com. |
Nielsen, “SimMetry Audience Measurement—Technology,” http://www.nielsen-admosphere.eu/products-and-services/simmetry-audience-measurement-technology/, accessed Jul. 22, 2015, 6 pages. |
Nielsen, “Television ” http://www.nielsen.com/us/en/solutions/measurement/television.html, accessed Jul. 22, 2015, 4 pages. |
Open Stack, “Filter Scheduler,” updated Dec. 17, 2017, 5 pages, accessed on Dec. 18, 2017, https://docs.openstack.org/nova/latest/user/filter-scheduler.html. |
Rabadan, J., et al., “Operational Aspects of Proxy-ARP/ND in EVPN Networks,” BESS Worksgroup Internet Draft, draft-snr-bess-evpn-proxy-arp-nd-02, Oct. 6, 2015, 22 pages. |
Saidi, Ali, et al., “Performance Validation of Network-Intensive Workloads on a Full-System Simulator,” Interaction between Operating System and Computer Architecture Workshop, (IOSCA 2005), Austin, Texas, Oct. 2005, 10 pages. |
Shunra, “Shunra for HP Software; Enabling Confidence in Application Performance Before Deployment,” 2010, 2 pages. |
Son, Jungmin, “Automatic decision system for efficient resource selection and allocation in inter-clouds,” Jun. 2013, 35 pages. |
Wikipedia, “Filter (software)”, Wikipedia, Feb. 8, 2014, 2 pages, https://en.wikipedia.org/w/index.php?title=Filter_%28software%29&oldid=594544359. |
Wikipedia; “Pipeline (Unix)”, Wikipedia, May 4, 2014, 4 pages, https://en.wikipedia.org/w/index.php?title=Pipeline2/028Unix%29&oldid=606980114. |
Number | Date | Country | |
---|---|---|---|
20160254968 A1 | Sep 2016 | US |
Number | Date | Country | |
---|---|---|---|
62126014 | Feb 2015 | US | |
62121999 | Feb 2015 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 14732995 | Jun 2015 | US |
Child | 14798355 | US |