De-Registration Based S-CSCF Load Balancing in IMS Core Network

Xu, Ling; Huang, Changcheng; Yan, James; Drwiega, T.

doi:10.1109/icc.2009.5198895

Cited by 9 publications

(9 citation statements)

References 6 publications

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“…A load balancing scheme was proposed to redirect consequent SIP traffic from the overutilized S-CSCF (Serving-CSCF) to the other underutilized ones in an IMS core network. This can effectively drive the traffic to avoid further overload at potentially overutilized S-CSCF while not inducing severe extra load [Xu et al 2009]. Some of these studies are reflected in RFC 5390 [Rosenberg 2008].…”

Section: Sip (Session Initiation Protocol)mentioning

confidence: 99%

Modeling and simulation of SIP tandem server with finite buffer

Hong

Huang

Yan

2011

ACM Trans. Model. Comput. Simul.

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Recent collapses of SIP servers (e.g., Skype outage) indicate that the built-in SIP overload control mechanism cannot mitigate overload effectively. We introduce our analytical approach by investigating an overloaded tandem server scenario. Our analytical model: (1) considers a general case that both arrival rate and service rate for signaling messages are generic random processes; (2) makes a detailed analysis of departure processes; (3) allows us to run fluid-based simulations to observe and analyze SIP system performance under some specific scenarios. This approach is much faster than event-driven simulation which needs to track thousands of retransmission timers for outstanding messages and may crash a simulator due to limited computing resources. Our numerical results help us reach a counterintuitive conclusion: A SIP system with a large buffer size may continuously exhibit overload and long queuing delay after experiencing a short period of demand burst or a temporary server slowdown. Small buffer size, on the other hand, can mitigate overload quickly by rejecting a large portion of the requests from a demand burst, and then resume normal operation after a short period of time. Furthermore, numerical results demonstrate that overload at a downstream server may propagate or migrate to its upstream servers and therefore cause widespread server crashes in a real SIP network. ACM Reference Format:Hong, Y., Huang, C., and Yan, J. 2011. Modeling and simulation of SIP tandem server with finite buffer. ACM Trans. Model.

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Section: Sip (Session Initiation Protocol)mentioning

confidence: 99%

Modeling and simulation of SIP tandem server with finite buffer

Hong

Huang

Yan

2011

ACM Trans. Model. Comput. Simul.

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“…In the establishment process, the load balancing is satisfied by the users' deregistration and reregistration among the servers. In most studies, load balancing and overload control is separately studied because load balancing does not guarantee that overload is completely prevented in SIP networks …”

Section: Performance Evaluationmentioning

confidence: 99%

“…In most studies, load balancing and overload control is separately studied because load balancing does not guarantee that overload is completely prevented in SIP networks. [47][48][49] In this section, an analysis is offered to examine the relationship between load balancing and overload control mechanisms. The purpose is to test whether the overload control mechanisms can maintain load balancing in the core servers.…”

Section: Load Balancingmentioning

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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“…The general problem of server load balancing has been discussed in many publications such as in [7] and [8]. The problem of balancing the load distribution between the S-CSCF nodes is discussed in [3] and a load-balancing mechanism is proposed. The mechanism introduces a new Application Server (AS) node to act as a load-balancer.…”

Section: Fig 1 a Simplified Ims Architecturementioning

confidence: 99%

Notification based S-CSCF load balancing in IMS networks

Abdalla¹,

Venkatesan²

2011

2011 Wireless Telecommunications Symposium (WTS)

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The Serving Call Session Control Function (S-CSCF) is the main node in the IP Multimedia Subsystem (IMS) signaling plane. The S-CSCF, which acts as both a SIP server and registrar, is assigned to serve end users for the duration of their connection to the IMS network. The assignment of users to an S-CSCF is performed by the Interrogating CSCF (I-CSCF) during the user SIP agent registration. The I-CSCF assigns the S-CSCF based on the capabilities required in the user profile. The 3GGP technical specification does not require the I-CSCF to consider the S-CSCF load balancing. This assignment scheme can lead to driving some of the S-CSCF nodes in the network into overload while others are still under-utilized. In this paper we present an S-CSCF assignment scheme that takes into consideration the target S-CSCF current load. The proposed mechanism is shown to evenly distribute the users between available S-CSCF in the network during simulation.

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De-Registration Based S-CSCF Load Balancing in IMS Core Network

Cited by 9 publications

References 6 publications

Modeling and simulation of SIP tandem server with finite buffer

Modeling and simulation of SIP tandem server with finite buffer

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

Notification based S-CSCF load balancing in IMS networks

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