stability analysis of tandem sip proxies

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IEEE ICC 2012 - COMMUNICATION QOS, RELIABILITY AND MODELING SYMPOSIUM ARTHUR: SEYED VAHID AZHARI, HANI NEMATI PRESENTER: 侯侯侯 Stability Analysis of Tandem SIP Proxies

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Stability Analysis of Tandem SIP Proxies. IEEE ICC 2012 - Communication QoS , Reliability and Modeling Symposium Arthur: Seyed Vahid Azhari, Hani Nemati Presenter: 侯宗佑. Outline. Introduction Fluid Flow Model Lyapunov stability Stabilizing Algorithm Conclusion. SIP protocol. - PowerPoint PPT Presentation

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Page 1: Stability Analysis of Tandem SIP Proxies

IEEE ICC 2012 - COMMUNICATION QOS, RELIABILITY AND MODELING SYMPOSIUM

ARTHUR: SEYED VAHID AZHARI , HANI NEMATI

PRESENTER: 侯宗佑

Stability Analysis of Tandem SIP Proxies

Page 2: Stability Analysis of Tandem SIP Proxies

Outline

IntroductionFluid Flow ModelLyapunov stabilityStabilizing AlgorithmConclusion

Page 3: Stability Analysis of Tandem SIP Proxies

SIP protocol

Signaling Communications ProtocolIETF,RFC 2543, latest RFC 3261Setup, modify, tear down multimedia sessionsText-based protocol (like http, smtp)Media stream use RTP protocol

Page 4: Stability Analysis of Tandem SIP Proxies

SIP protocol(cont’d)

Page 5: Stability Analysis of Tandem SIP Proxies

Lyapunov Stability

Mostly used for non-linear dynamic systemStay near Equilibrium point

Page 6: Stability Analysis of Tandem SIP Proxies

Fluid Flow Model

Page 7: Stability Analysis of Tandem SIP Proxies

Fluid Flow Model(Cont’d)

Assumption: Infinite queues, negligible packet loss and processing time, only Invite and OK message

State variable: weighted number of Invite message queues on proxy

Page 8: Stability Analysis of Tandem SIP Proxies

Fluid Flow Model(Cont’d)

Page 9: Stability Analysis of Tandem SIP Proxies

Fluid Flow Model

Page 10: Stability Analysis of Tandem SIP Proxies

Lyapunov Stability

Equilibrium : (x1,x2) = (0,0)

Page 11: Stability Analysis of Tandem SIP Proxies

Lyapunov Stability(Cont’d)

Page 12: Stability Analysis of Tandem SIP Proxies

Lyapunov Stability(Cont’d)

Optimal rejection policy

P2,rej = 0 has max value

All rejection burden at upstream proxy

Page 13: Stability Analysis of Tandem SIP Proxies

Stabilizing Algorithm

Idetical:

P1 >= 1:

Page 14: Stability Analysis of Tandem SIP Proxies

Stabilizing Algorithm(Cont’d)

Page 15: Stability Analysis of Tandem SIP Proxies

Stabilizing Algorithm(Cont’d)

Page 16: Stability Analysis of Tandem SIP Proxies

Stabilizing Algorithm(Cont’d)

Maximum Withstand-able Overload

Page 17: Stability Analysis of Tandem SIP Proxies

Conslusion

Modeled SIP topologyDerive Lyapunov stability conditionProposed a simple overload control algorithmOptimal rejection policy