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Reseach Article

A Modified Genetic Algorithm for Process Scheduling in Distributed System

Published on None 2011 by Vinay Harsora, Dr.Apurva Shah
Artificial Intelligence Techniques - Novel Approaches & Practical Applications
Foundation of Computer Science USA
AIT - Number 1
None 2011
Authors: Vinay Harsora, Dr.Apurva Shah
a2e276d1-a46f-4111-846a-074119aef3c9

Vinay Harsora, Dr.Apurva Shah . A Modified Genetic Algorithm for Process Scheduling in Distributed System. Artificial Intelligence Techniques - Novel Approaches & Practical Applications. AIT, 1 (None 2011), 36-40.

@article{
author = { Vinay Harsora, Dr.Apurva Shah },
title = { A Modified Genetic Algorithm for Process Scheduling in Distributed System },
journal = { Artificial Intelligence Techniques - Novel Approaches & Practical Applications },
issue_date = { None 2011 },
volume = { AIT },
number = { 1 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 36-40 },
numpages = 5,
url = { /specialissues/ait/number1/2821-201/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Artificial Intelligence Techniques - Novel Approaches & Practical Applications
%A Vinay Harsora
%A Dr.Apurva Shah
%T A Modified Genetic Algorithm for Process Scheduling in Distributed System
%J Artificial Intelligence Techniques - Novel Approaches & Practical Applications
%@ 0975-8887
%V AIT
%N 1
%P 36-40
%D 2011
%I International Journal of Computer Applications
Abstract

The problem of process scheduling in distributed system is one of the important and challenging area of research in computer engineering. Scheduling in distributed operating system has a important role in overall system performance. Process scheduling in distributed system can be defined as allocating processes to processor so that total execution time will be minimized, utilization of processors will be maximized and load balancing will be maximized. The scheduling in distributed system is known as NP-Complete problem. Genetic algorithm is one of the widely used techniques for constrain optimization. Genetic algorithm is basically search algorithm based on natural selection and natural genetics. In this, paper using the power of genetic algorithms. We solve this problem considering load balancing efficiently. We evaluate the performance and efficiency of the proposed algorithm using simulation result.

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Index Terms

Computer Science
Information Sciences

Keywords

Distributed system DAG Genetic algorithm