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QoS-Based Scheduling of Tasks using Bi-Objective Genetic Algorithm in Private Cloud

Published on February 2015 by Revathy K, Sindhu S
journal_cover_thumbnail

Advanced Computing and Communication Techniques for High Performance Applications
Foundation of Computer Science USA
ICACCTHPA2014 - Number 3
February 2015
Authors: Revathy K, Sindhu S
fa4afbfe-b6b9-4d3e-aaa3-f22058fc4d27

Revathy K, Sindhu S . QoS-Based Scheduling of Tasks using Bi-Objective Genetic Algorithm in Private Cloud. Advanced Computing and Communication Techniques for High Performance Applications. ICACCTHPA2014, 3 (February 2015), 31-35.

@article{
author = { Revathy K, Sindhu S },
title = { QoS-Based Scheduling of Tasks using Bi-Objective Genetic Algorithm in Private Cloud },
journal = { Advanced Computing and Communication Techniques for High Performance Applications },
issue_date = { February 2015 },
volume = { ICACCTHPA2014 },
number = { 3 },
month = { February },
year = { 2015 },
issn = 0975-8887,
pages = { 31-35 },
numpages = 5,
url = { /proceedings/icaccthpa2014/number3/19451-6037/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Advanced Computing and Communication Techniques for High Performance Applications
%A Revathy K
%A Sindhu S
%T QoS-Based Scheduling of Tasks using Bi-Objective Genetic Algorithm in Private Cloud
%J Advanced Computing and Communication Techniques for High Performance Applications
%@ 0975-8887
%V ICACCTHPA2014
%N 3
%P 31-35
%D 2015
%I International Journal of Computer Applications
Abstract

Cloud is a high performance computing environment in which many users are allowed to utilize the data, storage, computations and services from all around the world. Cloud environment contains heterogeneous collection of systems and is very flexible. Still scheduling of tasks is a major issue in cloud computing environment. Efficient utilization of tasks can be obtained by proper scheduling of all the tasks submitted to the cloud. This paper considers two QoS(Quality of Service) aspects : deadline and makespan for obtaining best schedule of tasks in a private cloud. Bi-objective Genetic Algorithm is used with the aim to minimize the violation of deadline and makespan of tasks.

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Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing Deadline Makespan Genetic Algorithm