A distributed end-to-end overload control mechanism for networks of SIP servers

Liao, Jianxin; Wang, Jinzhu; Li, Tonghong; Jing, Wang; Wang, Jingyu; Zhu, Xiaomin

doi:10.1016/j.comnet.2012.04.024

Cited by 26 publications

(54 citation statements)

References 30 publications

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“…On the other hand, sender-based end-to-end overload control is simple and practical. In Liao et al (2012), our previous work proposed a distributed end-to-end overload control (DEOC) mechanism, which is a sender-based overload control, where the core servers only implement local overload control that rejects requests by using 503 responses. Based on the received 503 responses, the edge servers calculate and then follow the restrictions on the traffic admitted to the SIP network.…”

Section: Related Workmentioning

confidence: 99%

“…Besides, it also minimizes the overhead of generating the feedback in the network. We omit the introduction of the finite state machine in this paper, which is similar to that in Liao et al (2012). The detailed description of the finite state machine can be found in our previous work (Liao et al, 2012).…”

Section: Measurement and Restrictionmentioning

confidence: 99%

“…Considering that these features are similar to those of the TCP congestion avoidance (Allman et al, 2009), the design of PRA can be inspired by the TCP congestion avoidance. The basic TCP congestion avoidance algorithm, which is proposed by Chiu and Jain (1989) and Jacobson (1988) and is based on a simple binary overload feedback received from the network, is applied by Liao et al (2012) to the SIP overload control as follows:…”

Section: Probe-based Rate Adaption (Pra) Designmentioning

confidence: 99%

“…Before presenting the PRA, we first consider the important properties of call admission rate control algorithms in SIP net works including aggressiveness, responsiveness and throughput (Liao et al, 2012). The network is underutilized when the call admission rate is below the capacity of the network.…”

Section: Aggressiveness Responsiveness and Throughputmentioning

confidence: 99%

“…Based on these properties, Liao et al (2012) analyzes the performance of AIMD. As for the increasing rule, due to the constant increasing rate of call admission rate, the aggressiveness is low when α is small, which leads to rejecting a lot of arriving calls unnecessarily when the network is underutilized.…”

Section: Aggressiveness Responsiveness and Throughputmentioning

confidence: 99%

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Probe-based end-to-end overload control for networks of SIP servers

Wang

Liao

et al. 2014

Journal of Network and Computer Applications

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The Session Initiation Protocol (SIP) has been adopted by the IETF as the control protocol for creating, modifying and terminating multimedia sessions. Overload occurs in SIP networks when SIP servers have insufficient resources to handle received messages. Under overload, SIP networks may suffer from congestion collapse due to current ineffective SIP overload control mechanisms. This paper introduces a probe-based end-to-end overload control (PEOC) mechanism, which is deployed at the edge servers of SIP networks and is easy to implement. By probing the SIP network with SIP messages, PEOC estimates the network load and controls the traffic admitted to the network according to the estimated load. Theoretic analysis and extensive simulations verify that PEOC can keep high throughput for SIP networks even when the offered load exceeds the capacity of the network. Besides, it can respond quickly to the sudden variations of the offered load and achieve good fairness.

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Section: Related Workmentioning

confidence: 99%

Section: Measurement and Restrictionmentioning

confidence: 99%

Section: Probe-based Rate Adaption (Pra) Designmentioning

confidence: 99%

Section: Aggressiveness Responsiveness and Throughputmentioning

confidence: 99%

Section: Aggressiveness Responsiveness and Throughputmentioning

confidence: 99%

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Probe-based end-to-end overload control for networks of SIP servers

Wang

Liao

et al. 2014

Journal of Network and Computer Applications

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Optimizing VoIP server resources using linear programming model and autoscaling technique: An SDN approach

Montazerolghaem

2021

Concurrency and Computation

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Summary Nowadays, the Voice Over IP (VoIP) technology is an important component of the communications industry as well as a low‐cost alternative to Public Switched Telephone Networks. Communication in VoIP networks consists of two main phases, for example, signaling and media exchange. VoIP servers are responsible for signaling exchange using the Session Initiation Protocol (SIP) as the signaling protocol. The saturation of SIP server resources is one of the issues with the VoIP network, which causes problems such as overload or loss of energy. Resource saturation occurs mainly due to a lack of integrated server resource management. In the traditional VoIP networks, management and routing are distributed among all equipment, including servers. These servers are overloaded during peak times and face energy loss during idle times. Given the importance of this issue, this paper introduces a framework based on Software‐Defined Networking technology for SIP server resource management. The advantage of this framework is to have a global view of all the server resources. In this framework, the resource allocation optimization problem and resource autoscaling are presented to deal with the problems posed. The goal is to maximize total throughput and minimize energy consumption. In this regard, we seek to strike a balance between efficiency and energy. The proposed framework is implemented in the actual testbed. The results show that the proposed framework has succeeded in achieving these goals.

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Overload mitigation mechanism for VoIP networks: a transport layer approach based on resource management

Montazerolghaem

Seno

Yaghmaee

et al. 2016

Trans. Emerging Tel. Tech.

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Session initiation protocol (SIP) is an application layer signalling protocol for the set‐up, management and termination of multimedia networks such as voice over IP standardised by Internet Engineering Task Force. This protocol has also been recognised by International Telecommunication Union as a main core of next‐generation networks. When this network is under overload for reasons such as improper design, instantaneous swarm, components error and sudden reduction of processing capacity, its efficiency is considerably reduced. Overload occurs when the SIP proxy lacks sufficient CPU and memory resources to process all messages. Because the overload cannot be prevented completely, it is important to equip SIP proxies with an effective overload mitigation mechanism. In this paper, capabilities of transmission control protocol are used in transport layer to reduce SIP proxy overload through the proper allocation of proxy resources. Major activities in this field assume SIP on user datagram protocol, which practically does not result in optimal throughput. To evaluate this approach, an Asterisk open source proxy is used. Our implementation results in the real testbed indicate the efficiency improvement of Asterisk proxy under overload. Copyright © 2016 John Wiley & Sons, Ltd.

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A distributed end-to-end overload control mechanism for networks of SIP servers

Cited by 26 publications

References 30 publications

Probe-based end-to-end overload control for networks of SIP servers

Probe-based end-to-end overload control for networks of SIP servers

Optimizing VoIP server resources using linear programming model and autoscaling technique: An SDN approach

Overload mitigation mechanism for VoIP networks: a transport layer approach based on resource management

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