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Dynamic Scaling of Call-Stateful SIP Services in the Cloud

Abstract : Many cloud technologies available today support dynamically scaling out and back computing services. The predominantly session-oriented nature and the carrier-grade requirements of telco services (such as SIP services) complicate the successful adoption of dynamic scaling in a telco cloud. This paper investigates how to enable dynamic scaling of these telco services in an effective manner, focusing in particular on call-stateful SIP services. First, we present and evaluate two protocols to transparently migrate ongoing sessions between call-stateful SIP servers. These allow to quickly shutdown call-stateful SIP servers in response to a scale back request, removing the need to wait until their ongoing calls have finished. Second, instead of responding to load changes in a reactive manner, this paper explores the potential value of pro-active resource provisioning based on call load forecasting. We propose a self-adaptive Kalman filter to implement short-term call load predictions and combine this with history-based predictions to anticipate future call load changes. We believe that session migration and call load forecasting are two important elements to safely reduce the operational expenditure (OpEx) of a cloudified SIP service.
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Contributor : Hal Ifip <>
Submitted on : Thursday, June 1, 2017 - 11:34:50 AM
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Nico Janssens, Xueli An, Koen Daenen, Claudio Forlivesi. Dynamic Scaling of Call-Stateful SIP Services in the Cloud. 11th International Networking Conference (NETWORKING), May 2012, Prague, Czech Republic. pp.175-189, ⟨10.1007/978-3-642-30045-5_14⟩. ⟨hal-01531113⟩



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