Job-Grouping Based Scheduling Algorithm for Computational Grids : An Efficient Job-Grouping Based Scheduling Algorithm for Fine-Grained Jobs in Computational Grids

Language: English

Published by LAP LAMBERT Academic Publishing, 2012

3847309579 / 9783847309574

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nach der Bestellung gedruckt Neuware - Printed after ordering - Grid computing is a high performance computing environment to solve large-scale computational demands. Computational grids has emerged as a next generation computing platform which is a collection of heterogeneous computing resources connected by a network across dynamic and geographically dispersed organizations, to form a distributed high performance computing infrastructure. Our work is mainly based on job-grouping approach for fine-grained job scheduling in computational grids. Resources in computational grid are heterogeneous in nature, owned and managed by different organizations with different allocation policies. In our scheduling algorithm jobs are scheduled based on resources computational and communication capabilities. Independent fine-grained jobs are grouped together based on the chosen resources characteristics, to maximize resource utilization and minimize processing time and cost. The performance of the algorithm is evaluated based on above mentioned performance parameters and compared with other existing fine-grained job scheduling strategies using GridSim toolkit.…

Seller Inventory # 9783847309574

Title
Job-Grouping Based Scheduling Algorithm for Computational Grids : An Efficient Job-Grouping Based Scheduling Algorithm for Fine-Grained Jobs in Computational Grids
Author
Arijit Mukherjee
Publisher
LAP LAMBERT Academic Publishing
Publication year
2012
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3847309579
ISBN 13
9783847309574
Item weight
107 grams
Dimensions
220x150x4 mm

AHA-BUCH GmbH

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