Reputation Based Job Allocation in Computational Grid: A Unique Approach - Couverture souple

Rahman, Mohammed Yasin; Hasan, Fahad; A. Khan, Adnan

 
9783639259612: Reputation Based Job Allocation in Computational Grid: A Unique Approach
Couverture souple
ISBN 10 : 3639259610 ISBN 13 : 9783639259612
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Grid computing environment ensures effective use of computing resources that otherwise would remain idle for most of the time and to perform complex and computing-demanding tasks that would normally require large-scale computing resources.A Grid consists of primarily three components: User, Resource Broker (Middleware/Matchmaker), Resource (Consists of multiple machines). There are three major types of resource allocation techniques in grid: Volunteer Resource Allocation, Agreement Based Resource Allocation, Economic Resource Allocation. We modified the existing replication based technique of Volunteer Resource Allocation in case of jobs with strict deadline. We were able to make the following improvements: 1. Improvement of the job allocation mechanism by the resource to the free machines in volunteer grid. 2. Introduction of reputation management in the job allocation mechanism for the resource to efficiently allocate jobs to different machines. 3.Improvement in performance compared to the current method of job allocation (replication based) in volunteer grid by doing higher no of concurrent jobs using lower no of parallel machines

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Présentation de l'éditeur

Grid computing environment ensures effective use of computing resources that otherwise would remain idle for most of the time and to perform complex and computing-demanding tasks that would normally require large-scale computing resources.A Grid consists of primarily three components: User, Resource Broker (Middleware/Matchmaker), Resource (Consists of multiple machines). There are three major types of resource allocation techniques in grid: Volunteer Resource Allocation, Agreement Based Resource Allocation, Economic Resource Allocation. We modified the existing replication based technique of Volunteer Resource Allocation in case of jobs with strict deadline. We were able to make the following improvements: 1. Improvement of the job allocation mechanism by the resource to the free machines in volunteer grid. 2. Introduction of reputation management in the job allocation mechanism for the resource to efficiently allocate jobs to different machines. 3.Improvement in performance compared to the current method of job allocation (replication based) in volunteer grid by doing higher no of concurrent jobs using lower no of parallel machines

Biographie de l'auteur

B.Sc. in Computer Science and Information Technology (CIT), Islamic University of Technology, IUT, OIC. Yasin and Adnan, Lecturer, Islamic University of Technology, IUT, OIC in the department of CIT. Fahad, Software Engineer, IMpulse (BD) Ltd. Yasin, Erasmus Mundus Master Student in Data Mining and knowledge Management, UPMC-Paris 6 and UPC, 2010-2012.

B.Sc. in Computer Science and Information Technology (CIT), Islamic University of Technology, IUT, OIC. Yasin and Adnan, Lecturer, Islamic University of Technology, IUT, OIC in the department of CIT. Fahad, Software Engineer, IMpulse (BD) Ltd. Yasin, Erasmus Mundus Master Student in Data Mining and knowledge Management, UPMC-Paris 6 and UPC, 2010-2012.

B.Sc. in Computer Science and Information Technology (CIT), Islamic University of Technology, IUT, OIC. Yasin and Adnan, Lecturer, Islamic University of Technology, IUT, OIC in the department of CIT. Fahad, Software Engineer, IMpulse (BD) Ltd. Yasin, Erasmus Mundus Master Student in Data Mining and knowledge Management, UPMC-Paris 6 and UPC, 2010-2012.

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

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639259610
ISBN 13 
9783639259612
Reliure
Broché
Nombre de pages
120
Coordonnées du fabricant
non disponible
Personne responsable
non disponible