Publication Type:

Journal Article

Source:

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, Springer Verlag, Volume 218, p.165-176 (2018)

ISBN:

9783319734224

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039157225&doi=10.1007%2f978-3-319-73423-1_15&partnerID=40&md5=dbab289f6aebc9ceb0b1cca6aac59a00

Keywords:

Comparative analysis, Computer system recovery, Distributed approaches, Distributed load balancing, Distributed networks, Failure detection and recoveries, Failure recovery, Internet protocols, Load-balancing mechanisms, Next generation networks, Optimized routing, Ubiquitous computing

Abstract:

<p>Mobile IPv6 is the widely acknowledged technology that supports mobility in networks. A single home agent in the network suffers from the issue of single point of failure and consequently focuses on the deployment of multiple home agents in the network. The load sharing mechanism in most of the exiting methods is passive and centralized in approach. Moreover, the failure detection and recovery mechanism uses the concept of periodic messaging updates which results in signaling overhead. Hence, a new method of active load sharing that is distributed in nature is proposed in this paper. The proposed method contributes a load balancing mechanism at the registration time itself using the concept of preferred home agent. The paper investigates the existing methods and presents the comparative analysis with the proposed method. The advantages of our proposed load sharing are active and distributed approach, less signaling overhead and better throughput.xs © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.</p>

Notes:

cited By 0; Conference of 1st International Conference on Ubiquitous Communications and Network Computing, UBICNET 2017 ; Conference Date: 3 August 2017 Through 5 August 2017; Conference Code:209119

Cite this Research Publication

A. Khatri and Mathi, S., “Active home agent load balancing for next generation IP mobility based distributed networks”, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 218, pp. 165-176, 2018.

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