%0 Conference Proceedings
%T Dynamic Scaling of Call-Stateful SIP Services in the Cloud
%+ Service Infrastructure Research Domain (SIRD)
%A Janssens, Nico
%A An, Xueli
%A Daenen, Koen
%A Forlivesi, Claudio
%Z Part 4: Virtualization and Cloud Services
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 11th International Networking Conference (NETWORKING)
%C Prague, Czech Republic
%Y Robert Bestak
%Y Lukas Kencl
%Y Li Erran Li
%Y Joerg Widmer
%Y Hao Yin
%I Springer
%3 NETWORKING 2012
%V LNCS-7289
%N Part I
%P 175-189
%8 2012-05-21
%D 2012
%R 10.1007/978-3-642-30045-5_14
%K cloud
%K telecommunication
%K elasticity
%K dynamic scaling
%K session migration
%K load prediction
%K SIP
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X 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.
%G English
%Z TC 6
%2 https://inria.hal.science/hal-01531113/document
%2 https://inria.hal.science/hal-01531113/file/978-3-642-30045-5_14_Chapter.pdf
%L hal-01531113
%U https://inria.hal.science/hal-01531113
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC6
%~ IFIP-LNCS-7289
%~ IFIP-NETWORKING