SIP overload control using automatic classification

Chentouf, Zohair

doi:10.1109/siecpc.2011.5876899

Cited by 6 publications

(4 citation statements)

References 15 publications

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“…The implementation and comparison of Adaptive Rate Control (ARC) and Support Vector Machine (SVM)-based algorithms are described in [11]. The ARC is a queue delay-based algorithm.…”

Section: Related Workmentioning

confidence: 99%

Simulation-based optimization of signaling procedures in IP multimedia subsystem

Husić

Hidic

Hadžialić

et al. 2014

Proceedings of 15th Conference of Open Innovations Association FRUCT

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This paper presents a simulation-based optimization of signaling procedures in Internet protocol Multimedia Subsystem (IMS). The aim is to improve the performance of signaling procedures by applying an algorithm for Session Initiation Protocol (SIP) message classification and prioritization that is proposed in our previous work. This three-priority level classification of SIP messages is implemented in Network Simulator version 2 (ns-2). Its effectiveness is verified through the simulation-based study of SIP signaling procedures under different conditions. The simulation results are analyzed in terms of Registration Request Delay (RRD), Session Request Delay (SRD), and Session Disconnect Delay (SDD). These SIP performance metrics are improved if IMS is configured to process SIP messages using the proposed algorithm. Differentiated handling of SIP messages reduces the overload in IMS and thereby improves the overall Quality of Service (QoS). This encourages our next step in research activity, i.e., implementation and incorporation of SIP message classification and prioritization algorithm into experimental environment. I.

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“…The implementation and comparison of Adaptive Rate Control (ARC) and Support Vector Machine (SVM)-based algorithms are described in [11]. The ARC is a queue delay-based algorithm.…”

Section: Related Workmentioning

confidence: 99%

Simulation-based optimization of signaling procedures in IP multimedia subsystem

Husić

Hidic

Hadžialić

et al. 2014

Proceedings of 15th Conference of Open Innovations Association FRUCT

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show abstract

“…A team of authors presented four different algorithms which proxy continuously estimate their current responsiveness and inform the upstream proxies as window length or send rate, [7]. At the same time four different algorithms have been tested, the first algorithm is an improved version of the Retry-After mechanism in the SIP, the second and the third are two rate-based algorithms, which are based on the amount of processor occupancy and queue delay, respectively, [11].…”

Section: Fig (4): Effects Of the Dth Parameter Value On The Average C...mentioning

confidence: 99%

Supply Quality Service Voip Through Call Signaling Overload Control

Alabbas¹,

Seno²

2018

EPHIJSE

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SIP (session initiation protocol (is an application layer protocol to create, maintain and ending the multimedia sessions. These protocols have no suitable mechanism for encountering with the overload, so when a server is overloaded, it`s effectiveness is reduced and eventually server’s real throughput reaches zero. To control the overload, various methods have been proposed, but there are some basic challenges presented in presented methods that lead to poor performance while there is an overloaded server in the network. The current study focusing on server – server’s overload, a distributed overload control method, based on dynamic window and implicit feedback is proposed to control overload. In order to extend the originally proposed algorithm which uses the violation of the calling delay from a specific threshold as an incentive for reducing the sending load to downstream proxy, adaptive methods are proposed. The performance of the proposed algorithms has been evaluated.

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“…Hwang et al [8] proposed a method to control SIP server overload based on the window-based overload control method, considering not only the maximum window size but also the number of confirmation messages. Chentouf et al [9] monitored a set of SIP servers' features and used Support Vector Machines to classify traffic behavior. The above method can control the overload operations of the application server, but these methods are not energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

A PSO-Based Overload Control Algorithm to Application Servers in Next Generation Electric Communication Networks

Zhao¹,

Meng²,

Zhao³

et al. 2013

Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information

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-This paper analysis overload control characteristics of the application server in the next generation electric communication network, as well as the application server overload detection requirements, propose an energy efficiency overload control algorithm based on particle swarm. First of all, we consider the problem of overload control and network efficiency at the same time, based on rate allocation algorithm, construct the control input rate and energy efficiency model, on which the energy efficiency optimization overload control model is built. After that, the particle swarm optimization is used to solve the model, where the optimal solution is obtained by the iterative process. Finally, the simulation results show that the proposed algorithm is feasible and effective.

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SIP overload control using automatic classification

Cited by 6 publications

References 15 publications

Simulation-based optimization of signaling procedures in IP multimedia subsystem

Simulation-based optimization of signaling procedures in IP multimedia subsystem

Supply Quality Service Voip Through Call Signaling Overload Control

A PSO-Based Overload Control Algorithm to Application Servers in Next Generation Electric Communication Networks

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