The subject matter described herein relates to Diameter network virtualization and for routing messages to dynamically-instantiated network resource instances. More particularly, the subject matter described herein includes methods, systems, and computer readable media for providing a virtualized Diameter network architecture and for routing traffic to dynamically-instantiated Diameter resource instances.
In current telecommunications network architectures, networks are engineered or statically provisioned for maximum capacity during peak hours. During off-peak hours, equipment is often idle. Accordingly, network resources are wasted, resulting in unnecessary capital expenditures by the network operators.
Virtualization in networks has been proposed in some contexts. However, once a virtual network element is instantiated, there is no standard mechanism for routing traffic to the newly-instantiated element. In addition, because Diameter networks are only beginning to be widely adopted, virtualization has not been fully explored in such networks. Accordingly, there exists a need for methods, systems, and computer readable media for methods, systems, and computer readable media for providing a virtualized Diameter network architecture and for routing traffic to dynamically-instantiated Diameter resource instances.
The subject matter described herein includes methods, systems, and computer readable media for providing virtualized Diameter network architecture and for routing traffic to dynamically instantiated Diameter resource instances. A system for providing virtualized Diameter resources and for routing traffic to dynamically instantiated Diameter resource instances includes a cloud virtualizer for virtualizing a hardware pool and for supporting dynamically instantiated Diameter resource instances. The system further includes a cloud orchestrator for monitoring network and hardware events and for instructing the cloud virtualizer to instantiate Diameter resource instances or to reallocate hardware from the hardware pool among instantiated Diameter resource instances in response to the network or hardware conditions. The system further includes a cloud flow manager for dynamically configuring at least one network element for routing traffic to dynamically-instantiated Diameter resource instances or to the allocated hardware.
The subject matter described herein can be implemented in software in combination with hardware and/or firmware. For example, the subject matter described herein can be implemented in software executed by a processor. In one exemplary implementation, the subject matter described herein can be implemented using a non-transitory computer readable medium having stored thereon computer executable instructions that when executed by the processor of a computer control the computer to perform steps. Exemplary computer readable media suitable for implementing the subject matter described herein include non-transitory computer-readable media, such as disk memory devices, chip memory devices, programmable logic devices, and application specific integrated circuits. In addition, a computer readable medium that implements the subject matter described herein may be located on a single device or computing platform or may be distributed across multiple devices or computing platforms.
Preferred embodiments of the subject matter described herein will now be explained with reference to the accompanying drawings of which:
As Diameter networks continue to evolve, Diameter network elements will move to the cloud, representing a virtual resource that can be used as needed by network operators. This represents a fundamental shift in the way network operators improve network scalability and flexibility. With a cloud based Diameter network, operators can leverage virtualization and software designed network technologies to deliver dynamic and elastic scalability in terms of sessions, transactions, and throughput. Such virtualization can be accomplished using standard hardware supported by a virtualization middleware layer or hypervisor. Virtualizing Diameter network resources enables flexible network screens for different types of services. Such virtualization also helps produce capital and operational expenditures by creating a more flexible architecture and deployment options. For example, operators no longer need to build excess core capacity to address peak hours, as virtual Diameter network resources can be temporarily moved to different locations based on changing traffic levels. Rather than statically provisioning network elements based on peak network utilization, the subject matter described herein includes a virtualized network architecture where Diameter signaling router (DSR), policy and charging rules function (PCRF), and subscriber profile repository (SPR) resource instances are dynamically instantiated on demand and where traffic is automatically routed to dynamically-instantiated resource instances.
Because hardware is not always standardized, and because it may be necessary to dynamically allocate new hardware using a standard interface, a cloud virtualizer 108 is provided. Cloud virtualizer 108 uses virtualization technology, such as virtual machine technology, to dynamically allocate or reallocate hardware resources from hardware pool 100 and to instantiate needed DSR, PCRF, or SPR resource instances on that hardware. A cloud orchestrator 110 monitors network and hardware events and instructs virtualizer 108 to dynamically allocate needed hardware resources and to dynamically instantiate DSR, PCRF, and SPR resource instances. For example, if cloud orchestrator 110 determines that the load on a DSR at a particular location recedes and there is a surge in the need for PCRF resources, orchestrator 110 may reallocate processor blades from hardware pool 100 that are currently allocated to the DSR resource instance whose load has receded to additional PCRF resource instances. This can be done with stateful binding to maintain sessions and context for newly-instantiated resources. In another example, if the load on PCRF resource instances recedes and the load on DSR resource instances increases, hardware may be reallocated from the PCRF resource instance whose load has receded to the DSR resource instances in need of additional processing power. In yet another example, hardware assigned to SPR resource instances whose load has receded may be reassigned to DSR resource instances whose load has increased. In yet another example, hardware assigned to DSR resource instances whose load has receded may be reassigned to SPR resource instances whose load has increased. In still another example, hardware assigned to PCRF resource instances whose load has receded may be assigned to SPR resource instances whose load has increased. In still another example, hardware assigned to SPR resource instances whose load has receded may be assigned to PCRF resource instances whose load has increased. Any reallocation or reassignment of hardware among Diameter resource instances in response to network or hardware conditions is intended to be within the scope of the subject matter described herein.
Once newly-instantiated resources are created, a cloud flow manager 112 dynamically routes traffic to the newly-instantiated virtual resources. For example, cloud flow manager 112 may use software-defined network technologies, such as OpenFlow, to dynamically manipulate traffic flows entering or leaving the network. In one example, when a network with one active DSR resource instances experiences a signaling traffic surge, additional processor blades with DSR resources can be added to manage the traffic. In one embodiment, cloud virtualizer 108 may implement a hypervisor layer that allows dynamic allocation and deallocation of hardware from hardware pool 100 to and from Diameter network resource instances, such as PCRF resource instances 102, DSR resource instances 104, and SPR resource instances 106.
Cloud orchestrator 110 instructs flow manager 112 to direct signaling flows to the newly-instantiated Diameter resource instances in the cloud. Flow manager 112 issues SDN commands, such as OpenFlow commands, to network routers to route messages to the newly-instantiated resources or to hardware that is newly allocated to existing resources. The OpenFlow protocol is described in the OpenFlow Switch Specification, Version 1.1.0, Feb. 28, 2011, the disclosure of which is incorporated herein by reference in its entirety.
As stated above, cloud orchestrator 110 and cloud virtualizer 108 may communicate to reallocate hardware to Diameter resource instances of different types in response to network or hardware conditions. In one example, cloud orchestrator 110 may instruct cloud virtualizer 108 to allocate hardware previously allocated to PCRF resource instances to one or more DSR resource instances.
In another example, cloud orchestrator 110 may instruct cloud virtualizer 108 to allocate hardware previously allocated to a DSR resource instance to a PCRF resource instance.
In yet another example, cloud orchestrator 110 may instruct cloud virtualizer 108 to allocate hardware previously allocated to SPR resource instances to DSR resource instances.
In yet another example, hardware resources previously allocated to DSR resource instances may be allocated to SPR resource instances.
In yet another example, hardware previously allocated to PCRF resource instances may be dynamically allocated to SPR resource instances.
In yet another example, hardware resources previously assigned to an SPR resource instance may be reallocated to a PCRF resource instance.
It will be understood that various details of the presently disclosed subject matter may be changed without departing from the scope of the presently disclosed subject matter. Furthermore, the foregoing description is for the purpose of illustration only, and not for the purpose of limitation.
This application claims the benefit of U.S. Provisional Patent Application Ser. No. 61/766,073, filed Feb. 18, 2013, the disclosure of which is incorporated herein by reference in its entirety.
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