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Reseach Article

Dependency Mapper based Efficient Job Scheduling and Load Balancing in Green Clouds

by Jaswinder Kaur, Supriya Kinger
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 4
Year of Publication: 2014
Authors: Jaswinder Kaur, Supriya Kinger

Jaswinder Kaur, Supriya Kinger . Dependency Mapper based Efficient Job Scheduling and Load Balancing in Green Clouds. International Journal of Computer Applications. 102, 4 ( September 2014), 40-44. DOI=10.5120/17807-8633

@article{ 10.5120/17807-8633,
author = { Jaswinder Kaur, Supriya Kinger },
title = { Dependency Mapper based Efficient Job Scheduling and Load Balancing in Green Clouds },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 4 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 40-44 },
numpages = {9},
url = { },
doi = { 10.5120/17807-8633 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:32:17.473413+05:30
%A Jaswinder Kaur
%A Supriya Kinger
%T Dependency Mapper based Efficient Job Scheduling and Load Balancing in Green Clouds
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 4
%P 40-44
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

Cloud computing is usually recognized as a technology which has significant impact on IT. However, cloud computing still has many crucial problems. In a cloud computing system, Load balancing is the most central issue in the system i. e. to distribute the load in an efficient manner. It plays a very important role in the realization of efficient and robust cloud computing platform. In this paper, new load balancing mechanisms have proposed based on character/ nature of jobs along with priority consideration. Furthermore Virtualization is considered in more practical way to avoid the wastage of resources over the network. Finally the performance of the proposed algorithm is analyzed and compared with existing Load balancing and Scheduling policies.

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Index Terms

Computer Science
Information Sciences


Cloud Computing Data centers Virtualization Load Balancing Dependency Mapper.