International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 102 - Issue 4 |
Published: September 2014 |
Authors: Jaswinder Kaur, Supriya Kinger |
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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 }, year = { 2014 }, volume = { 102 }, number = { 4 }, pages = { 40-44 }, doi = { 10.5120/17807-8633 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Jaswinder Kaur %A Supriya Kinger %T Dependency Mapper based Efficient Job Scheduling and Load Balancing in Green Clouds%T %J International Journal of Computer Applications %V 102 %N 4 %P 40-44 %R 10.5120/17807-8633 %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.