A distributed end-to-end overload control mechanism for networks of SIP servers

  • Authors:
  • Jianxin Liao;Jinzhu Wang;Tonghong Li;Jing Wang;Jingyu Wang;Xiaomin Zhu

  • Affiliations:
  • State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 296, Beijing 100876, China;State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 296, Beijing 100876, China;Department of Computer Science, Technical University of Madrid, Madrid 28660, Spain;State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 296, Beijing 100876, China;State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 296, Beijing 100876, China;State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 296, Beijing 100876, China

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2012

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Abstract

The Session Initiation Protocol (SIP) is an application-layer control protocol standardized by the IETF for creating, modifying and terminating multimedia sessions. With the increasing use of SIP in large deployments, the current SIP design cannot handle overload effectively, which may cause SIP networks to suffer from congestion collapse under heavy offered load. This paper introduces a distributed end-to-end overload control (DEOC) mechanism, which is deployed at the edge servers of SIP networks and is easy to implement. By applying overload control closest to the source of traffic, DEOC can keep high throughput for SIP networks even when the offered load exceeds the capacity of the network. Besides, it responds quickly to the sudden variations of the offered load and achieves good fairness. Theoretic analysis and extensive simulations verify that DEOC is effective in controlling overload of SIP networks.