SIP overload control using automatic classification

Abstract

As the Session Initiation Protocol (SIP) becomes more and more the core of the communication networks convergence, there is urgent need to manage the critical problem of SIP service availability under extreme overload. This paper proposes a novel solution to control SIP overload. We demonstrate the efficiency of the approach compared with a well known SIP overload control algorithm. The solution builds on monitoring a set of SIP servers' features and uses Support Vector Machines to classify traffic behavior as problematic or not. The validation of the proposed solution is performed through experiments.