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Design of Stochastic Simulator for Analyzing the Impact of Scalability on CPU Scheduling Algorithms

by P. K. Suri, Sumit Mittal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 17
Year of Publication: 2012
Authors: P. K. Suri, Sumit Mittal
10.5120/7717-1065

P. K. Suri, Sumit Mittal . Design of Stochastic Simulator for Analyzing the Impact of Scalability on CPU Scheduling Algorithms. International Journal of Computer Applications. 49, 17 ( July 2012), 4-9. DOI=10.5120/7717-1065

@article{ 10.5120/7717-1065,
author = { P. K. Suri, Sumit Mittal },
title = { Design of Stochastic Simulator for Analyzing the Impact of Scalability on CPU Scheduling Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 17 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 4-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number17/7717-1065/ },
doi = { 10.5120/7717-1065 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:46:28.013692+05:30
%A P. K. Suri
%A Sumit Mittal
%T Design of Stochastic Simulator for Analyzing the Impact of Scalability on CPU Scheduling Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 17
%P 4-9
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Process scheduling with scalable performance is an issue in computer system. Scalability of scheduling algorithm is its ability to don't decrease the performance when large processes are under run. The performance of job scheduling policies strongly depends on the properties of the incoming jobs. In this paper, we have analyzed the impact of scalability on different CPU scheduling algorithms with reference to average waiting time, average turnaround time and average response time to determine which algorithm is most suitable for uniprocessor environment. The burst time, arrival time and priority is randomly generated using exponential probability distribution and the performance of all algorithms has been evaluated with reference to arrival time or without arrival time. We use a simulative approach to evaluate the performance and scalability of each algorithm with reference to different number of processes.

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Index Terms

Computer Science
Information Sciences

Keywords

Uniprocessor environment Scalability CPU scheduling algorithms Simulation

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