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Algorithms for Task Consolidation Problem in a Cloud Computing Environment

by Amandeep Kaur, Rupinder Kaur, Prince Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 4
Year of Publication: 2013
Authors: Amandeep Kaur, Rupinder Kaur, Prince Jain
10.5120/13099-0397

Amandeep Kaur, Rupinder Kaur, Prince Jain . Algorithms for Task Consolidation Problem in a Cloud Computing Environment. International Journal of Computer Applications. 75, 4 ( August 2013), 16-23. DOI=10.5120/13099-0397

@article{ 10.5120/13099-0397,
author = { Amandeep Kaur, Rupinder Kaur, Prince Jain },
title = { Algorithms for Task Consolidation Problem in a Cloud Computing Environment },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 4 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 16-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number4/13099-0397/ },
doi = { 10.5120/13099-0397 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:22.909005+05:30
%A Amandeep Kaur
%A Rupinder Kaur
%A Prince Jain
%T Algorithms for Task Consolidation Problem in a Cloud Computing Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 4
%P 16-23
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing has recently emerged as a new paradigm for hosting and delivering services over the Internet. Task consolidation problem in cloud computing systems became an important approach to streamline resource usage which improves energy efficiency. The task consolidation is also known as workload consolidation problem which is the process of assigning set of tasks to set of resources without violating time constraints. Three existing energy conscious heuristics such as ECTC (Energy-Conscious Task Consolidation) Task Consolidation Algorithm and MaxUtil (Maximum rate Utilization) Task Consolidation Algorithm and Bi-objective Task Consolidation algorithm offering different energy saving possibilities were analyzed in this study. The cost functions incorporated effectively capture energy saving possibilities and their capability has been verified by evaluation study. The Bi-objective Task Consolidation algorithm combines the two heuristics to construct the corresponding bi-objective search space. The efficiency of proposed algorithm was proved thought evaluation study consisting of different simulations carried out.

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Index Terms

Computer Science
Information Sciences

Keywords

MaxUtil ECTC Bi-Objective Algorithms

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