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Modeling and design of a Session Initiation Protocol overload control algorithm

机译:会话发起协议过载控制算法的建模与设计

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Recent collapses of Session Initiation Protocol (SIP) servers indicate that the built-in SIP overload control mechanism cannot mitigate overload effectively. In this paper, we propose a new SIP overload control algorithm by introducing a novel analytical approach to model the dynamic behavior of a SIP network where each server has a finite buffer. Three key breakthroughs of our modeling approach are the formulations of the message loss process, message retransmission process, and the complex departure process through detailed analysis. Our modeling results indicate that retransmissions triggered by the queuing delay are redundant, thus we propose a feedback control mechanism that regulates the retransmission message rate to mitigate the overload. We then demonstrate how to extend our analytical approach to the modeling of our overload control solution. Simulation based on this analytical model runs much faster than event-driven simulation, which needs to track thousands of retransmission timers for outstanding messages and may crash a simulator due to limited computation resources. Performance evaluation demonstrates that: (I) without the control algorithm applied, the overload at a downstream server may propagate to its upstream servers and cause widespread network failure; (2) in the case of short-term overload, our feedback control solution can mitigate the overload effectively without rejecting calls intentionally or reducing network utilization, thus avoiding the disadvantages of existing overload control solutions. In addition, compared with the pushback solution, our retransmission-based solution achieves a better trade-off between the speed to cancel the overload and the call rejection rate when an overload lasts a short period.
机译:会话启动协议(SIP)服务器最近崩溃表明,内置的SIP过载控制机制无法有效缓解过载。在本文中,我们通过引入一种新颖的分析方法来建模每个服务器具有有限缓冲区的SIP网络的动态行为,从而提出了一种新的SIP过载控制算法。通过详细分析,我们的建模方法的三个关键突破是消息丢失过程,消息重新传输过程以及复杂的离开过程的制定。我们的建模结果表明,由排队延迟触发的重传是多余的,因此我们提出了一种反馈控制机制,该机制调节重传消息的速率以减轻过载。然后,我们演示了如何将分析方法扩展到过载控制解决方案的建模中。基于这种分析模型的仿真比事件驱动的仿真要快得多,事件驱动的仿真需要跟踪成千上万的重传计时器以获取出色的消息,并且由于计算资源有限而可能使模拟器崩溃。性能评估表明:(I)如果未应用控制算法,则下游服务器的过载可能传播到其上游服务器,并导致广泛的网络故障; (2)在短期过载的情况下,我们的反馈控制解决方案可以有效缓解过载,而不必故意拒绝呼叫或降低网络利用率,从而避免了现有过载控制解决方案的弊端。此外,与回推解决方案相比,我们的基于重传的解决方案在消除过载的速度与过载持续时间较短的情况下的呼叫拒绝率之间取得了更好的平衡。

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