An intelligent water drop algorithm for optimizing task scheduling in grid environment
Joint Authors
Selvarani, Sornapandy
Sadhasivam, Gangadharan
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6 (31 Dec. 2016)8 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
The goal of grid computing is to provide powerful computing for complex scientific problems by utilizing and sharing large scale resources available in the grid.
Efficient scheduling algorithms are needed to allocate suitable resources for each submitted task.
So scheduling is one of the most important issues for achieving high performance computing in grid.
This paper addresses an approach for optimizing scheduling using a nature inspired Intelligent Water Drops (IWD) algorithm.
In the proposed approach intelligent water drops algorithm is adopted to improve the performance of task scheduling in grid environment.
The performance of Ant Colony Optimization (ACO) algorithm for task scheduling is compared with the proposed IWD approach and it is proved that task scheduling using IWD can efficiently and effectively allocate tasks to suitable resources in the grid.
American Psychological Association (APA)
Selvarani, Sornapandy& Sadhasivam, Gangadharan. 2016. An intelligent water drop algorithm for optimizing task scheduling in grid environment. The International Arab Journal of Information Technology،Vol. 13, no. 6.
https://search.emarefa.net/detail/BIM-722003
Modern Language Association (MLA)
Selvarani, Sornapandy& Sadhasivam, Gangadharan. An intelligent water drop algorithm for optimizing task scheduling in grid environment. The International Arab Journal of Information Technology Vol. 13, no. 6 (Dec. 2016).
https://search.emarefa.net/detail/BIM-722003
American Medical Association (AMA)
Selvarani, Sornapandy& Sadhasivam, Gangadharan. An intelligent water drop algorithm for optimizing task scheduling in grid environment. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6.
https://search.emarefa.net/detail/BIM-722003
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-722003