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Reseach Article

Optimized Task Scheduling Algorithms in Distributed Computing: A Review

by Nidhi Tyagi, Vinita Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 35
Year of Publication: 2019
Authors: Nidhi Tyagi, Vinita Sharma
10.5120/ijca2019918345

Nidhi Tyagi, Vinita Sharma . Optimized Task Scheduling Algorithms in Distributed Computing: A Review. International Journal of Computer Applications. 182, 35 ( Jan 2019), 42-44. DOI=10.5120/ijca2019918345

@article{ 10.5120/ijca2019918345,
author = { Nidhi Tyagi, Vinita Sharma },
title = { Optimized Task Scheduling Algorithms in Distributed Computing: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2019 },
volume = { 182 },
number = { 35 },
month = { Jan },
year = { 2019 },
issn = { 0975-8887 },
pages = { 42-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number35/30293-2019918345/ },
doi = { 10.5120/ijca2019918345 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:13:24.051106+05:30
%A Nidhi Tyagi
%A Vinita Sharma
%T Optimized Task Scheduling Algorithms in Distributed Computing: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 35
%P 42-44
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cost is becoming the fruity factor to show the performance for any kind of experiment. Task scheduling algorithms are the valuable term in these days because of its performance in distributed computing environment. Market wants to pay minimum cost for every aspect. Task scheduling is performing the lead role in distributed computing with reducing cost. Various optimized task scheduling has been developed for execute the task efficiently. This paper proves that optimized task scheduling algorithms are better than traditional one’s ever.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Task scheduling Cost Distributed computing.