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An Effective Reliability Efficient Algorithm for Enhancing the Overall Performance of Distributed Computing System

by Pankaj Saxena, Kapil Govil
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 82 - Number 5
Year of Publication: 2013
Authors: Pankaj Saxena, Kapil Govil
10.5120/14114-2163

Pankaj Saxena, Kapil Govil . An Effective Reliability Efficient Algorithm for Enhancing the Overall Performance of Distributed Computing System. International Journal of Computer Applications. 82, 5 ( November 2013), 30-34. DOI=10.5120/14114-2163

@article{ 10.5120/14114-2163,
author = { Pankaj Saxena, Kapil Govil },
title = { An Effective Reliability Efficient Algorithm for Enhancing the Overall Performance of Distributed Computing System },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 82 },
number = { 5 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume82/number5/14114-2163/ },
doi = { 10.5120/14114-2163 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:57:00.381344+05:30
%A Pankaj Saxena
%A Kapil Govil
%T An Effective Reliability Efficient Algorithm for Enhancing the Overall Performance of Distributed Computing System
%J International Journal of Computer Applications
%@ 0975-8887
%V 82
%N 5
%P 30-34
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Distributed computing refers to the use of distributed systems to solve computational problems. A distributed computing system consists of multiple computers that communicate through a computer network. The computers that are in a distributed computing system can be physically close together and connected by a local network, or they can be geographically distant and connected by a wide area network. Distributed computing systems offer the benefits like scalability and redundancy. A task is any single module to be processed. If the number of tasks are more then the number of processors and every processor process the task in a particular time period for processing any particular task then we have to allocate each task to the single processor in such a way that the task should be completed in a optimal reliability manner and also there should not be overloading of task to any single processor. The number of processors and number of tasks are static in nature. The number of processors is denoted by n and the number of tasks is denoted by m. In general for all real world problem the number of tasks are greater then the number of processors i. e. m>n. The requirement is to complete all the tasks by allocating the task so that the results for reliability should be optimal in nature to increase the overall performance of distributed computing system.

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Index Terms

Computer Science
Information Sciences

Keywords

Distributed Computing System Task Processor Task allocation.

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