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Reseach Article

Load Balancing Algorithms for Peer to Peer and Client Server Distributed Environments

by Sameena Naaz, Afshar Alam, Ranjit Biswas
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 8
Year of Publication: 2012
Authors: Sameena Naaz, Afshar Alam, Ranjit Biswas
10.5120/7208-9995

Sameena Naaz, Afshar Alam, Ranjit Biswas . Load Balancing Algorithms for Peer to Peer and Client Server Distributed Environments. International Journal of Computer Applications. 47, 8 ( June 2012), 17-21. DOI=10.5120/7208-9995

@article{ 10.5120/7208-9995,
author = { Sameena Naaz, Afshar Alam, Ranjit Biswas },
title = { Load Balancing Algorithms for Peer to Peer and Client Server Distributed Environments },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 8 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number8/7208-9995/ },
doi = { 10.5120/7208-9995 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:21.226415+05:30
%A Sameena Naaz
%A Afshar Alam
%A Ranjit Biswas
%T Load Balancing Algorithms for Peer to Peer and Client Server Distributed Environments
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 8
%P 17-21
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Advancements in hardware as well as software technologies have resulted in very heavy use of distributed systems. Because these systems are physically separated so managing the various resources is one of the challenging areas. In this paper will talk about the management of the processing power of the various nodes which are geographically apart. The basic aim is to distribute the processes among the processing units so that the execution time and communication delays can be minimized and resource utilization can be maximized. This distribution of processes is known as load balancing. Load balancing can either be static or dynamic in nature. It has been proved that dynamic load balancing algorithms give better result as compared to static algorithms but they are computationally more intensive. This paper compares the various load balancing algorithms quantitatively. An important issue with dynamic algorithms is that they exchange state information at frequent interval to make decisions. Because there is some communication delay also before the information reaches its destination so there is some uncertainty in the global state of the system. To overcome this problem fuzzy logic concept can be used which is also discussed here.

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Index Terms

Computer Science
Information Sciences

Keywords

Distributed Systems Load Balancing Execution Time Resource Utilization Uncertainty Fuzzy Logic