In my earlier post “Architecting a cloud based IP Multimedia System (IMS)” I had suggested the idea of “cloudifying” the network elements of the IP Multimedia Systems. This would bring multiple benefits to the Service Providers as it would enable quicker deployment of the network elements of the IMS framework, faster ROI and reduction in CAPEX. Besides, the CSPs can take advantage of the elasticity and utility style pricing of the cloud.
This post takes this idea a logical step forward and proposes a Software Defined IP Multimedia System (SD-IMS).
In today’s world of scorching technological pace, static configurations for IT infrastructure, network bandwidth and QOS, and fixed storage volumes will no longer be sufficient.
We are in the age of being able to define requirements dynamically through software. This is the new paradigm in today’s world. Hence we have Software Defined Compute, Software Defined Network, Software Defined Storage and also Software Defined Radio.
This post will demonstrate the need for architecting an IP Multimedia System that uses all the above methodologies to further enable CSPs & Operators to get better returns faster without the headaches of earlier static networks.
IP Multimedia Systems (IMS) is the architectural framework proposed by 3GPP body to establish and maintain multimedia sessions using an all IP network. IMS is a grand vision that is access network agnostic, uses an all IP backbone to begin, manage and release multimedia sessions.
The problem:
Any core network has the problem of dimensioning the various network elements. There is always a fear of either under dimensioning the network and causing failed calls or in over dimensioning resulting in wasted excess capacity.
The IMS was created to handle voice, data and video calls. In addition in the IMS, the SIP User Endpoints can negotiate the media parameters and either move up from voice to video or down from video to voice by adding different encoders. This requires that the key parameters of the pipe be changed dynamically to handle different QOS, bandwidth requirements dynamically.
The solution
The approach suggested in this post to have a Software Defined IP Multimedia System (SD-IMS) as follows.
In other words the compute instances, network, storage and the frequency need to be managed through software based on the demand.
Software Defined Compute (SDC): The traffic in a Core network can be seasonal, bursty and bandwidth intensive. To be able to handle this changing demands it is necessary that the CSCF instances (P-CSCF, S-CSCF,I-CSCF etc) all scale up or down. This can be done through Software Defined Compute or the process of auto scaling the CSCF instances. The CSCF compute instances will be created or destroyed depending on the traffic traversing the switch.
Software Defined Network (SDN): The IMS envisages the ability to transport voice, data and video besides allowing for media sessions to be negotiated by the SIP user endpoints. Software Defined Networks (SDNs) allow the network resources (routers, switches, hubs) to be virtualized.
SDNs can be made to dynamically route traffic flows based on decisions in real time. The flow of data packets through the network can be controlled in a programmatic manner through the Flow controller using the Openflow protocol. This is very well suited to the IMS architecture. Hence the SDN can allocate flows based on bandwidth, QoS and type of traffic (voice, data or video).
Software Defined Storage (SDS): A key component in the Core Network is the need to be able charge customers. Call Detail Records (CDRs) are generated at various points of the call which are then aggregated and sent to the bill center to generate the customer bill.
Software Defined (SDS) abstracts storage resources and enables pooling, replication, and on-demand provisioning of storage resources. The ability to be able to pool storage resources and allocate based on need is extremely important for the large amounts of data that is generated in Core Networks
Software Defined Radio (SDR): This is another aspect that all Core Networks must adhere to. The advent of mobile broadband has resulted in a mobile data explosion portending a possible spectrum crunch. In order to use the available spectrum efficiently and avoid the spectrum exhaustion Software Define Radio (SDR) has been proposed. SDRs allows the radio stations to hop frequencies enabling the radio stations to use a frequency where this less contention (see We need to think differently about spectrum allocation … now).In the future LTE-Advanced or LTE with CS fallback will have to be designed with SDRs in place.
Conclusion:
A Software Defined IMS makes eminent sense in the light of characteristics of a core network architecture. Besides ‘cloudifying’ the network elements, the ability to programmatically control the CSCFs, network resources, storage and frequency, will be critical for the IMS. This is a novel idea but well worth a thought!
Excellent Piece of Writing. Keep it up. Any module that is software-defined is bound to be flexible, configurable, and efficiency. Virtualization systematically introduced in server machines has made servers programmable. Software-defined cloud centers represent the next-generation cloud environments and all the typical infrastructural components (compute, storage, and networking) of futuristic data centers are getting virtualized to realize higher productivity. The concept of software-enablement brings in a bevy of business, technical and use-centric advantages.
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