Overload control in SIP networks using no explicit feedback: A window based approach

The Session Initiation Protocol (SIP) is a signaling protocol for managing various types of real time sessions between parties over an Internet Protocol network. An open issue is the control of overload situations that occur when the incoming flow of requests to a SIP server overcomes the server processing capacity. In particular, call establishment times increase due to overload, which triggers retransmissions and causes a further increase of the total incoming flow of requests. This paper proposes an overload control system for regulating both the queue length and the CPU load of the SIP server. The proposed control system is made of two PI controllers tuned by minimizing a proper cost function using the Extremum Seeking algorithm. A real working implementation of the SIP overload controller has been made in the open source SIP server Kamailio. A performance evaluation and comparison of the proposed controller with the main proposals existing in literature has been carried out. Results show that the proposed control system counteracts overload situations and provides a goodput close to the optimal while maintaining low call establishment delays and retransmission ratios.

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“…The only exception is [26], which evaluates the performance mostly through simulations but also considers a brief experimental evaluation.…”

Section: Related Workmentioning

confidence: 99%

“…In [26] a distributed end-to-end adaptive window-based overload control technique is proposed. Upstream servers use call establishment delay to infer the load on their downstream servers so that an explicit feedback from the downstream servers is not needed.…”

Section: Related Workmentioning

confidence: 99%

Local SIP Overload Control: Controller Design and Optimization by Extremum Seeking

Cicco

Cofano

Mascolo

2015

IEEE Trans. Control Netw. Syst.

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“…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%

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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“…RFC 6357 defines fundamental components of a system using the explicit overload‐control mechanism. The possible delay on the feedback signal reaching to the upstream server is considered as a drawback of the approach . The latter uses metrics like transaction delay, session setup delay as implicit feedback.…”

Section: Related Workmentioning

confidence: 99%

On fluid‐flow modeling of priority based request scheduling for finite buffer SIP server

Yavaş

Hökelek

Günsel

2017

Int J Communication

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Summary With the widespread deployments of voice‐over‐internet protocol services, the existing session initiation protocol (SIP) design cannot scale up for large network sizes. Events triggering a demand burst or a server slowdown can cause SIP server overload, overload propagation, and crash, thus bringing down the whole SIP network. Since the SIP retransmission mechanism exacerbates the overload condition, existing models created for a stable SIP system cannot be effectively used to analyze an overloaded server. In this paper, we propose a fluid‐flow model to characterize the behavior of the finite buffer SIP server equipped with priority‐based request scheduling mechanism (PRSM). The model for the PRSM uses primary and secondary queues for the original request messages and the retransmitted requests, respectively. The performance metrics, namely, the failed call attempts and the response delay from sending INVITE request until receiving a 100‐Trying response, are derived using the arrival time‐slot tracking and the removal processes of the proposed fluid‐flow model. We conducted test cases under the heavy traffic conditions, where the overload is caused by bulk and bursty arrivals or server slowdown. The numerical results closely match with the simulation results for all experiments, indicating that the proposed model can accurately capture the dynamic behavior of an SIP server with the PRSM. The experiments demonstrate that the number of failed call attempts is close to 0 and the mean response delay is kept constant around 175 ms for the PRSM when the buffer size is higher than 1K while both metrics are significantly higher for the conventional SIP.

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Overload control in SIP networks using no explicit feedback: A window based approach

Cited by 25 publications

References 14 publications

Local SIP Overload Control: Controller Design and Optimization by Extremum Seeking

Local SIP Overload Control: Controller Design and Optimization by Extremum Seeking

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

On fluid‐flow modeling of priority based request scheduling for finite buffer SIP server

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