An application of TOPSIS method for task scheduling algorithm in grid computing environment

Today, the world facing with huge flood of data and the recent advances in computer technology have provided the capability to process significant amount of data. On the other hand, analyzing the information requires resources that most institutions do not have, independently. To handle such circums...

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Published in:Decision Science Letters Vol. 3; no. 3; pp. 275 - 284
Main Authors: Kohzadian, Sasan, Harounabadi, Ali, Sadeghzadeh, Mehdi
Format: Journal Article
Language:English
Published: Growing Science 2014
Subjects:
Grid Scheduling
Grid System
Load Balancing
Multi Criteria Decision Making
Run Time
ISSN:1929-5804, 1929-5812
Online Access:Get full text
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Abstract Today, the world facing with huge flood of data and the recent advances in computer technology have provided the capability to process significant amount of data. On the other hand, analyzing the information requires resources that most institutions do not have, independently. To handle such circumstances, grid computing has emerged as an important research area where the calculation of distributed computing and clustering are different. In this study, we propose a grid computing architecture as a set of protocols that use the cumulative knowledge of computers, networks, databases and scientific instruments based on the implementation of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique. The results of the implementation of the proposed algorithm on grid systems indicate the superiority of the proposed approach in terms of validation criteria scheduling algorithms, such as task completion time and the performance compared with some alternative method.
AbstractList Today, the world facing with huge flood of data and the recent advances in computer technology have provided the capability to process significant amount of data. On the other hand, analyzing the information requires resources that most institutions do not have, independently. To handle such circumstances, grid computing has emerged as an important research area where the calculation of distributed computing and clustering are different. In this study, we propose a grid computing architecture as a set of protocols that use the cumulative knowledge of computers, networks, databases and scientific instruments based on the implementation of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique. The results of the implementation of the proposed algorithm on grid systems indicate the superiority of the proposed approach in terms of validation criteria scheduling algorithms, such as task completion time and the performance compared with some alternative method.
Author Sadeghzadeh, Mehdi
Harounabadi, Ali
Kohzadian, Sasan
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SubjectTerms Grid Scheduling
Grid System
Load Balancing
Multi Criteria Decision Making
Run Time
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