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Reseach Article

Load�Balancing - The Essential Factor in Communication Network of Distributed System

Published on March 2012 by V.S.Tondre, R.V.Dharaskar, S.S.Sherekar
2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
Foundation of Computer Science USA
NCIPET - Number 11
March 2012
Authors: V.S.Tondre, R.V.Dharaskar, S.S.Sherekar
f688b29b-3f0e-4fc6-8cb1-0abb13ac6b3a

V.S.Tondre, R.V.Dharaskar, S.S.Sherekar . Load�Balancing - The Essential Factor in Communication Network of Distributed System. 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013). NCIPET, 11 (March 2012), 33-36.

@article{
author = { V.S.Tondre, R.V.Dharaskar, S.S.Sherekar },
title = { Load�Balancing - The Essential Factor in Communication Network of Distributed System },
journal = { 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013) },
issue_date = { March 2012 },
volume = { NCIPET },
number = { 11 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 33-36 },
numpages = 4,
url = { /proceedings/ncipet/number11/5275-1087/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%A V.S.Tondre
%A R.V.Dharaskar
%A S.S.Sherekar
%T Load�Balancing - The Essential Factor in Communication Network of Distributed System
%J 2nd National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2013)
%@ 0975-8887
%V NCIPET
%N 11
%P 33-36
%D 2012
%I International Journal of Computer Applications
Abstract

The load balancing is vital factor in communication networks of distributed system. The main purpose of this factor is to assign arriving or internally generated tasks or jobs among processing nodes of a distributed system in such a way that provides the highest utilization of the system resources and also maintain the fairness to the jobs. If the load balancing is not implemented properly, it decreases the QoS of real-time applications. It also hampers the effectiveness, accuracy of the data transmission technique, scheduling and processing time of the technique. So, it is essential to consider the factor that affects the load in the network. The main requirement of the load balancing in the system is, the two nodes can have direct communication only if their distance is under certain threshold, low bandwidth and nodes are energy constraint. Therefore, it is crucial to balance the number of packets passed by each node. In this paper, the focus is on the techniques that are designed specially to balance the load that exhibit adaptive approach for providing efficient and effective performance in the distributed system.

References
  1. A.E. Kostin, I. Aybay, and Gurcu Oz, “A Randomized Contention-Based Load-Balancing Protocol for a Distributed Multiserver Queuing System”, IEEE Transactions On Parallel And Distributed Systems, Vol. 11, No. 12, Pp.1252-1273, December 2000.
  2. Albert Y. Zomaya and Yee-Hwei The, “Observations on Using Genetic Algorithms for Dynamic Load-Balancing”, IEEE Transactions On Parallel And Distributed Systems, Vol. 12, No. 9, pp. 899-911, September 2001.
  3. Jie Gao And Li Zhang, “Trade-Offs Between Stretch Factor And Load-Balancing Ratio In Routing On Growth-Restricted Graphs”, IEEE Transactions On Parallel And Distributed Systems, Vol. 20, No. 2, Pp. 171-179, February 2009.
  4. G. Lodi, F. Panzieri, D. Rossi, And E. Turrini, “SLA-Driven Clustering Of Qos -Aware Application Servers”, IEEE Transactions On Software Engineering, Vol. 33, No. 3, 186-197, March 2007.
  5. S. Sharma, K. Gopalan, S. Nanda, and T. Chiueh. “Viking: A Multi-Spanning-tree Ethernet Architecture for Metropolitan Area and Cluster Networks”, In IEEE INFOCOM, 2004.
  6. S. Lin, S. Sharma, and T. Chiueh, “Autonomic Resource Management for Multiple-Spanning-Tree Metro-Ethernet Networks”, Sixth International Symposium On Network Computing And Applications (NCA), 2007.
  7. Jordi Garcia, Eduard Ayguade , and JesuÂs Labarta A Framework for Integrating Data Alignment, Distribution, and Redistribution in Distributed Memory Multiprocessors”, IEEE Transactions On Parallel And Distributed Systems, Vol. 12, No. 4, Pp. 416-431, April 2001.
  8. Shweta Sinha and Manish Parashar, “System Sensitive Runtime Management of Adaptive Applications”, Conference: International Parallel and Distributed Processing Symposium / International Parallel Processing Symposium – IPDPS (IPPS), (2001) (citation:7)
Index Terms

Computer Science
Information Sciences

Keywords

Load balancing distributed system routing and scheduling bandwidth resource management stretch factor