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

Concurrency and Computation

2021

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.

“…In local methods, each SIP server monitors its consumable resources independently and rejects additional calls without the need to interact with other servers [1].…”

Section: Local Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Concurrency and Computation

2021

“…In this figure, one way to prevent overload is the distribution of the load between SIP servers based on their capacity [27]- [29]. Another categorized mechanism is overload control methods, which are divided into five general categories [30]- [35], the most important of which are local and distributed methods.…”

Section: Voip Overload Controlmentioning

confidence: 99%

Green Cloud Multimedia Networking: NFV/SDN Based Energy-Efficient Resource Allocation

IEEE Trans. on Green Commun. Netw.

Yaghmaee

Leon-Garcia

2020

The rapid growth of communications and multimedia network services such as Voice over Internet Protocol (VoIP) have caused these networks to face a crisis in resources from two perspectives: 1. Lack of resources and, as a result, overload; 2. Redundancy of resources and, as a result, energy loss. Cloud computing allows the scale of resources to be reduced or increased on demand. Many of the gains obtained from the cloud computing come from resource sharing and virtualization technology. On the other hand, the emerging concept of Software-Defined Networking (SDN) can provide a global view of the entire network for integrated resource management. Network Function Virtualization (NFV) can also be used to virtually implement a variety of network devices and functions. In this paper, we present an energy-efficient framework called GreenVoIP to manage the resources of virtualized cloud VoIP centers. By managing the number of VoIP servers and network equipment, such as switches, this framework not only prevents overload but also supports green computing by saving energy. Finally, GreenVoIP is implemented and evaluated on real platforms, including Floodlight, Open vSwitch, and Kamailio. The results suggest that the proposed framework can minimize the number of active devices, prevent overloading, and provide service quality requirements.

“…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

Trans. Emerging Tel. Tech.

Seno

Yaghmaee

et al. 2016

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.