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

ISBN 10: 3847309579 / ISBN 13: 9783847309574
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Job-Grouping Based Scheduling Algorithm for Computational Grids: An Efficient Job-Grouping Based Scheduling Algorithm for Fine-Grained Jobs in Computational Grids. N° de ref. de la librería

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Sinopsis: 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.

Biografía del 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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Descripción LAP Lambert Academic Publishing, Germany, 2012. Paperback. Estado de conservación: New. Aufl.. 220 x 150 mm. Language: English . Brand New Book ***** Print on Demand *****.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. Nº de ref. de la librería AAV9783847309574

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Descripción LAP Lambert Academic Publishing. Paperback. Estado de conservación: New. Paperback. 60 pages. Dimensions: 8.7in. x 5.9in. x 0.1in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. de la librería 9783847309574

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Descripción Estado de conservación: Good. Job-Grouping Based Scheduling Algorithm for Computational Grids: An Efficient Job-Grouping Based Scheduling Algorithm for Fine-Grained Jobs in Computational Grids. Nº de ref. de la librería Grb3800197

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Descripción LAP LAMBERT Academic Publishing, 2012. Paperback. Estado de conservación: Used: Good. This item is printed on demand. Nº de ref. de la librería SONG3847309579

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