Dynamic IMS Reconfiguration using Session Migration for Power Saving

Legacy telecommunication services have been tending to shift to All-IP networks from closed and circuit switched networks by the deployment of high bandwidth and stable mobile broadband networks such as Long Term Evolution (LTE). The shift to an All-IP network leads to the integration of telecommunication services and internet services, which are called Over-The-Top (OTT) services. The trend towards increasing and unpredictable traffic makes it important for the IP Multimedia Subsystem (IMS), which is a call control system running over the All-IP network, to be flexible and reliable. With that goal, the authors have proposed an IMS reconfiguration mechanism using call session state migration, which allows the IMS to distribute live call sessions as required by the failure of IMS servers and the quantity of calls in progress. Furthermore, in this paper we propose a model to determine the configuration of the IMS dynamically from the perspective of electrical power consumption and performance. A formula based on the model calculates which IMS servers should be active and which call sessions should move to which IMS servers to reduce the overall power consumption, using linear programming. Moreover, this paper implements the proposal and shows its results. Keywords-IMS; SIP; Session Migration; Power Saving; Linear Programming; Optimization; CPLEX

[1]  MANABU ITO,et al.  OpenFlow-based Routing Mechanism for Call Session State Migration in the IMS , 2012 .

[2]  Nick McKeown,et al.  OpenFlow: enabling innovation in campus networks , 2008, CCRV.

[3]  Mark Handley,et al.  SIP: Session Initiation Protocol , 1999, RFC.

[4]  Mounir Frikha,et al.  High availability in IMS virtualized network , 2009, 2009 First International Conference on Communications and Networking.

[5]  Daniel Mossé,et al.  Dynamic optimization of power and performance for virtualized server clusters , 2010, SAC '10.

[6]  Mark Handley,et al.  SIP: Session Initiation Protocol , 1999, RFC.

[7]  Michael Devetsikiotis,et al.  Modeling and optimization for the design of IMS networks , 2006, 39th Annual Simulation Symposium (ANSS'06).

[8]  Asser N. Tantawi,et al.  Load Balancing for SIP Server Clusters , 2009, IEEE INFOCOM 2009.

[9]  Volker Hilt,et al.  Controlling overload in networks of SIP servers , 2008, 2008 IEEE International Conference on Network Protocols.

[10]  Ramjee Prasad,et al.  Optimization of SIP Session Setup Delay for VoIP in 3G Wireless Networks , 2006, IEEE Transactions on Mobile Computing.