Local SIP overload control: Controller design and optimization by Extremum Seeking

Cicco, Luca De; Cofano, Giuseppe; Mascolo, Saverio

doi:10.1109/cdc.2013.6760384

Cited by 7 publications

(7 citation statements)

References 12 publications

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“…Through the local overload control methods, the overloaded server itself has a consistent control over its resource usage without any need for interplay with other network servers. The criteria for identifying the overload in some of these methods are queue length and CPU usage level . An SIP server starts rejecting extra‐requests when becoming close to its capacity limit, which is carried out by sending a ‘503 Service Unavailable’ message in response to an ‘INVITE’.…”

Section: Related Workmentioning

confidence: 99%

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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Section: Related Workmentioning

confidence: 99%

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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“…The main drawback of this method is that the cost of call reject cannot be ignored, and when dealing with heavy overloads, the server must use its entire resources for rejecting the excess calls. Accordingly, the server will not be able to respond any services [9]. On the other hand, depending that the overloaded server whether notifies its status to the upstream servers or the upstream servers are themselves informed of the current status of the downstream (overloaded) server, the distributed methods are categorized into two explicit and implicit methods [3].…”

Section: Related Workmentioning

confidence: 99%

“…1. Call setup message or "INVITE" (briefly referred as Call Request) is the most important request message since its transaction has maximum process load on CPU server [7,9]. Once a session is created, media such as audio and video are exchanged between the parties without passing from the servers, so that the only load on the server would be signaling messages.…”

Section: Introductionmentioning

confidence: 99%

Overload Control in SIP Networks: A Heuristic Approach Based on Mathematical Optimization

Montazerolghaem¹,

Moghaddam²,

Tashtarian³

2014

2015 IEEE Global Communications Conference (GLOBECOM)

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Abstract-The Session Initiation Protocol (SIP) is an application-layer control protocol for creating, modifying and terminating multimedia sessions. An open issue is the control of overload that occurs when a SIP server lacks sufficient CPU and memory resources to process all messages. We prove that the problem of overload control in SIP network with a set of n servers and limited resources is in the form of NP-hard. This paper proposes a Load-Balanced Call Admission Controller (LB-CAC) based on a heuristic mathematical model to determine an optimal resource allocation in such a way that maximizes call admission rates regarding the limited resources of the SIP servers. In fact, LB-CAC by having some critical information of SIP servers determines the optimal "call admission rates" and "signaling paths" for admitted calls along optimal allocation of CPU and memory resources of the SIP servers through a new linear programming model. A comparison between the numerical and experimental results implies the efficiency of the proposed method.

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“…SIP uses UDP or TCP packets for different operations such as device registration and call setup/teardown. Call setup message or "INVITE" (briefly referred to as Call Request) is the most important request message, given that its transaction has a maximum process load on CPU server [4,5]. Once a session is created, media are exchanged without passing through the servers.…”

Section: Introductionmentioning

confidence: 99%

“…(3) We propose a mathematical model which optimizes resource usage and maximizes throughput; (4) We propose a novel autoscaling scheme at VM level, which sufficiently scales the resources, while attempting to maximize call admission rate; (5) We implemented the proposed work on a real twotier cloud computing [11].…”

mentioning

confidence: 99%

A Load-Balanced Call Admission Controller for IMS Cloud Computing

Montazerolghaem

Yaghmaee

Leon-Garcia

et al. 2016

IEEE Trans. Netw. Serv. Manage.

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Abstract- load balancing and call admission control). IMS network signaling happens through Session Initiation Protocol (SIP).An open issue is the control of overload that occurs when an SIP server lacks sufficient CPU and memory resources to process all messages. This paper proposes a virtual load balanced call admission controller (VLB-CAC) for the cloudhosted SIP servers. VLB-CAC determines the optimal "call admission rates" and "signaling paths" for admitted calls along with the optimal allocation of CPU and memory resources of the SIP servers. This optimal solution is derived through a new linear programming model. This model requires some critical information of SIP servers as input. Further, VLB-CAC is equipped with an autoscaler to overcome resource limitations. The proposed scheme is implemented in SAVI (Smart Applications on Virtual Infrastructure) which serves as a virtual testbed. An assessment of the numerical and experimental results demonstrates the efficiency of the proposed work.

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Local SIP overload control: Controller design and optimization by Extremum Seeking

Cited by 7 publications

References 12 publications

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

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

Overload Control in SIP Networks: A Heuristic Approach Based on Mathematical Optimization

A Load-Balanced Call Admission Controller for IMS Cloud Computing

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