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

Wang, Jinzhu; Liao, Jianxin; Li, Tonghong; Wang, Jing; Wang, Jingyu; Qi, Qi

doi:10.1016/j.jnca.2013.10.017

Cited by 20 publications

(26 citation statements)

References 25 publications

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“…As in Liao et al, for each target server, one entity is created, following SIP requests and 503 responses to apply limitations to the destination. In Liao et al and Wang et al, if the network is overloaded, the 503 responses are delayed; then, the entity reacts with a lag. In Khazaei and Mozayani, a window‐based end‐to‐end mechanism is offered to control and manage overload in SIP networks.…”

Section: Related Workmentioning

confidence: 99%

“…The standard topology shown in Figure is selected for simulation. This topology has been used in recent research . The routing is implemented as described in section 4.1 based on the IMS model.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…In the end-to-end overload control methods, offered in some studies 4,5,32,40,41 to prevent or solve the overload in a server, all edge servers are considered equally. In these methods, all edge servers are asked to reduce offered load to the overloaded server without considering overload caused, whereas the proposed method operates fairly.…”

Section: End-to-end Overload Controlmentioning

confidence: 99%

“…Therefore, end‐to‐end overload control is more complex than are hop‐by‐hop and local overload control mechanisms. End‐to‐end overload control provides the best performance by controlling the traffic at the edge of the network and using fewer resources for requests that are, ultimately, rejected …”

Section: Introductionmentioning

confidence: 99%

“…End-to-end overload control provides the best performance by controlling the traffic at the edge of the network and using fewer resources for requests that are, ultimately, rejected. 4,5 Thus far, the methods proposed for performance evaluation of SIP networks have usually considered networks with a few SIP servers whose responses were acceptable or near optimal. However, in larger networks, they lose their efficiency.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

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: Related Workmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

Section: End-to-end Overload Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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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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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Local and distributed SIP overload control solution improving sustainability of SIP networks

Jahanbakhsh

Azhari

Enayatizadeh

et al. 2016

Int J Communication

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Carriers have adopted session initiation protocol (SIP) in their next generation networks. Providing carriergrade service requires high availability in times of component failures, avalanche restart, flash crowds and denial of service attacks, which cause overload on SIP servers. Throughput of SIP servers is largely degraded during overload. We propose an SIP overload control (SIP-OC) solution for local and remote situations, working in hop-by-hop and end-to-end modes. Our local SIP-OC method uses a cross-layer approach with negligible performance impact, while the implicit nature of our remote SIP-OC allows detection of sophisticated overload conditions such as those caused by non-SIP entities. Our remote SIP-OC uses transaction response time as the basis for implicit overload detection. Coupling our local and remote SIP-OC schemes, we show that the range of 'sustainable' overload that can be imposed on the system improves significantly. Moreover, incorporating a 2-means filtering mechanism into our SIP-OC scheme makes it perform well under packet-loss. We also show that our proposed solution is robust to network latency and SIP server capacity fluctuations. All of our results are obtained from experiments over SIP testbeds including an experimental IP multimedia subsystem. Figure 1. Basic session initiation protocol signaling (not showing DNS and location server for simplicity).In this paper, we propose a total SIP overload control (SIP-OC) solution including a remote SIP-OC mechanism operating between two SIP servers, namely, AIWB ‡ and a local SIP-OC scheme with almost no performance impact used at the edge, namely, SYN-dropping § . Unlike other local SIP-OC approaches, SYN-dropping is a cross-layer approach and is only triggered for independent SIP UAs running over TCP, while back-to-back user agents (B2BUA), which are in fact dense port SIP clients use AIWB. For experiments, we adopt TCP at the UA-edge and UDP at the edge-core segment of the SIP network. Nevertheless, UDP SIP clients can still continue to connect to the edge proxy. At the core, UDP is used, which improves scalability [11]; however, AIWB can operate on top of any transport mechanism as it resides entirely in the SIP layer.We will show the benefits that can be gained from combining an implicit remote SIP-OC mechanism with SYN-dropping in terms of improved network sustainability over a large range of overload. We use transaction response time (TRT) denoted by TRT (time from INVITE to any provisional response such as, 183-Session-In-Progress/OK/etc.) measured by the upstream server as an implicit indication of overload at some downstream server. Using this information, the upstream server controls the signaling load imposed on the downstream server using an adaptive window-based approach without any assistance from the overloaded server.Although we do not argue against the use of explicit SIP-OC methods, our point is to show the added benefit and feasibility of using an implicit SIP-OC mechanism, which can be integrated alongside an explicit SI...

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

Cited by 20 publications

References 25 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

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

Local and distributed SIP overload control solution improving sustainability of SIP networks

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