Overload control in SIP servers: Evaluation and improvement

Homayouni, Maryam; Jahanbakhsh, Mojtaba; Azhari, Vahid; Akbari, Ahmad

doi:10.1109/ictel.2010.5478787

Cited by 11 publications

(11 citation statements)

References 12 publications

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“…The topology used to implement and simulate the proposed method is shown in Figure . The topology is known as a standard in the IP multimedia subsystems (IMS) architecture used by SIP service providers. The topology consists of two different domains, each of which can be related to a specific geographic area.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…In Shen, 3 window‐based methods are proposed whose responding capacity is estimated by the overloaded server; then, a window size is reported to upstream servers. In Homayouni et al and Azhari et al, based on call setup delay and similar to a slow start phase in TCP, the window size is determined implicitly. In Abdelal and Matragi, an implicit method is proposed by using a leaky bucket mechanism to send invite requests to a downstream server.…”

Section: Related Workmentioning

confidence: 99%

“…IP networks provide a variety of services; different technologies gravitate toward integration networks and next generation networks . In next generation networks, SIP undoubtedly plays a key role …”

Section: Introductionmentioning

confidence: 99%

“…1 In next generation networks, SIP undoubtedly plays a key role. 2 Overload occurs when the rate of incoming requests to the SIP server exceeds the server capacity. 3 The overload occurs under certain conditions such as disasters, emergency calls, TV shows, and congestion after a server reset.…”

Section: Introductionmentioning

confidence: 99%

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Overload management with regard to fairness in session initiation protocol networks by holonic multiagent systems

Khazaei

Mozayani

2017

Int J Network Mgmt

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Summary Session initiation protocol (SIP) is a widely used standard protocol for multimedia applications and IP multimedia subsystems. Internet protocol multimedia subsystem was introduced by the 3GGP signaling foundation as part of a set of next generation network architectures. Despite having useful practical features, SIP does not have suitable mechanisms to handle overload. This challenge creates a sharp drop in quality of service for next generation network users. Because a distributed SIP network is a complex system composed of subsystems interacting with one another, multiagent system is an appropriate method to model network interactions and to solve overload in SIP networks. In this paper, holonic organization is applied to reduce the multiagent system complexity in modeling a large SIP network. Holonic organization is a hierarchical structure in which each holon covers a geographical area of the SIP network at the first level. At the second level, upper‐level holons control the first‐level holons, and so on. Overload control is achieved by communication and the exchange of knowledge between the intelligent holons. Experimental results show that the proposed method prevents overload in the SIP network. The method also increases total throughput, reduces delay, and considers fairness in the SIP network.

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Section: Proposed Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Overload management with regard to fairness in session initiation protocol networks by holonic multiagent systems

Khazaei

Mozayani

2017

Int J Network Mgmt

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“…Other pushback solutions can be found. 5,[22][23][24][25][26][27][28] Such pushback control solutions aim at preventing the overload of a server by reducing the sending rate of its upstream servers. This would increase the queuing delays of newly arrived original messages at the upstream servers, which in turn cause overload at the upstream servers.…”

Section: Related Work 21 Sip Overload Controlmentioning

confidence: 99%

Modeling and design of a Session Initiation Protocol overload control algorithm

2012

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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 eventdriven 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: (1) 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.

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A dynamic distributed overload control mechanism in SIP networks with holonic multi-agent systems

Khazaei

Mozayani

2015

Telecommun Syst

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Overload control in SIP servers: Evaluation and improvement

Cited by 11 publications

References 12 publications

Overload management with regard to fairness in session initiation protocol networks by holonic multiagent systems

Overload management with regard to fairness in session initiation protocol networks by holonic multiagent systems

Modeling and design of a Session Initiation Protocol overload control algorithm

A dynamic distributed overload control mechanism in SIP networks with holonic multi-agent systems

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