Sinossi
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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L'autore
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.
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Reputation Based Job Allocation in Computational Grid
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VDM Verlag Dr. Müller, 2010
ISBN 10: 3639259610
ISBN 13: 9783639259612
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Rahman Mohammed YasinB.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, Softw. Codice articolo 4971768
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Reputation Based Job Allocation in Computational Grid : A Unique Approach
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783639259612
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Reputation Based Job Allocation in Computational Grid | A Unique Approach
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Taschenbuch. Condizione: Neu. Reputation Based Job Allocation in Computational Grid | A Unique Approach | Mohammed Yasin Rahman (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639259612 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 101042300
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Reputation Based Job Allocation in Computational Grid: A Unique Approach
Editore:
VDM Verlag Dr. Müller, 2010
ISBN 10: 3639259610
ISBN 13: 9783639259612
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA79036392596106
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