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

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
Softcover
ISBN 10: 3847309579 ISBN 13: 9783847309574
Verlag: LAP LAMBERT Academic Publishing, 2012

Inhaltsangabe

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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Über die Autorin bzw. den Autor

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.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2012
Sprache
Englisch
ISBN 10 
3847309579
ISBN 13 
9783847309574
Einband
Taschenbuch
Anzahl der Seiten
60
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
JustFiction Edition
customerservice@vdm-vsg.de

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