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Volker Hilt volkerhbell-labs Bell Labs

Slide 2 | 74 IETF Meeting | March 2009. SIP Overload Control Design Team. Team MembersEric Noel, Carolyn Johnson (AT

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Volker Hilt volkerhbell-labs Bell Labs

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    1. Volker Hilt volkerh@bell-labs.com Bell Labs/Alcatel-Lucent SIP Overload Control IETF Design Team Status

    2. Slide 2 | 74 IETF Meeting | March 2009 SIP Overload Control Design Team Team Members Eric Noel, Carolyn Johnson (AT&T Labs) Volker Hilt, Fangzhe Chang (Bell Labs/Alcatel-Lucent) Charles Shen, Henning Schulzrinne (Columbia University) Ahmed Abdelal, Tom Phelan (Sonus Networks) Mary Barnes (Nortel) Jonathan Rosenberg (Cisco) Nick Stewart (British Telecom) Four independent simulation tools AT&T Labs, Bell Labs/Alcatel-Lucent, Columbia University, Sonus Networks Bi-weekly conference calls.

    3. Slide 3 | 74 IETF Meeting | March 2009 draft-ietf-sipping-overload-design-01 Changes to -00 Added new sections on: Fairness Introduces fairness categories. Performance Metrics Discusses metrics to compare overload control mechanisms Message Priorization Selection of messages in overload condition. Added text to Security Considerations section. Minor edits throughout the text.

    4. Slide 4 | 74 IETF Meeting | March 2009 draft-ietf-sipping-overload-design-00 Next Steps Discussion of overload control mechanisms needs to be structured along the identified performance metrics. Document is close to completion.

    5. Slide 5 | 74 IETF Meeting | March 2009 SIP Overload Control Design Team Simulation Results Four types of overload control Rate-based Overload Control Loss-based Overload Control Window-based Overload Control Overload Signal-based Overload Control Summary of Steady-State Evaluation (presented at IETF ’73) Performance of all overload control mechanisms under evaluation is similar in steady state. Varying network conditions (i.e., delay, loss-rate) do not reveal significant differences. Results for Transient Scenarios Evaluation of transient behavior with respect to Changes in offered load changes in the number of neighbors Fairness

    6. Slide 6 | 74 IETF Meeting | March 2009 Changes in Offered-Load (AT&T Labs) Rate-based and Window-based Overload Control Simulations use the following overload control feedback types and algorithms: Rate-based: queue delay Loss-based: SRED Window-based Feedback conveyed in SIP responses. Result: rate-, loss- and window-based controls respond well to transient stimulus.

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