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

Mukherjee, Arijit; Khilar, Pabitra Mohan

 
9783847309574: Job-Grouping Based Scheduling Algorithm for Computational Grids: An Efficient Job-Grouping Based Scheduling Algorithm for Fine-Grained Jobs in Computational Grids
Couverture souple
ISBN 10 : 3847309579 ISBN 13 : 9783847309574
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

Arijit Mukherjee has done his M.Tech in CSE from NIT Rourkela,India. His research interest includes Parallel & Distributed Computing, Scheduling Algorithms. Dr. P.M. Khilar has done his PhD from IIT Kharagpur, India. He works as an Assistant Professor at NIT Rourkela. His research interests are in Parallel & Distributed Processing, Fault-tolerance.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3847309579
ISBN 13 
9783847309574
Reliure
Broché
Nombre de pages
60
Coordonnées du fabricant
non disponible
Personne responsable
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