Sprache: Englisch
Verlag: LAP Lambert Academic Publishing, 2018
ISBN 10: 613985394X ISBN 13: 9786139853946
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Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 613985394X ISBN 13: 9786139853946
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Taschenbuch. Zustand: Neu. Genetic Algorithm in Load Balancing problem of Cloud Computing | Surjeet Dalal (u. a.) | Taschenbuch | 88 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139853946 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Jun 2018, 2018
ISBN 10: 613985394X ISBN 13: 9786139853946
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cloud computing technology has gained immense popularity in the recent years. It is the new word that describes an internet based computing technology which enables the users to access information and use various resources from the clouds from any location. This technology is evolving and developing with the increasing demands in the IT Sector and business environments. In this book the issue of load balancing in cloud environment is taken. A load balancing algorithm is developed using the genetic algorithm concept which is based on the evolutionary mechanism. On the basis of two parameters, response time and overall cost, a genetic algorithm is developed to balance the workload efficiently in cloud computing environment. The results illustrated the improvement in the response time and overall cost of the cloud system 88 pp. Englisch.
Sprache: Englisch
Verlag: LAP Lambert Academic Publishing, 2018
ISBN 10: 613985394X ISBN 13: 9786139853946
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Sprache: Englisch
Verlag: LAP Lambert Academic Publishing, 2018
ISBN 10: 613985394X ISBN 13: 9786139853946
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Sprache: Englisch
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dalal SurjeetDr. Surjeet Dalal is working as Associate Professor in Department of Computer Science and Engineering in SRM University Haryana. His current research area is Artificial Intelligence & Cloud Computing. He has presented 20.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing Jun 2018, 2018
ISBN 10: 613985394X ISBN 13: 9786139853946
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Cloud computing technology has gained immense popularity in the recent years. It is the new word that describes an internet based computing technology which enables the users to access information and use various resources from the clouds from any location. This technology is evolving and developing with the increasing demands in the IT Sector and business environments. In this book the issue of load balancing in cloud environment is taken. A load balancing algorithm is developed using the genetic algorithm concept which is based on the evolutionary mechanism. On the basis of two parameters, response time and overall cost, a genetic algorithm is developed to balance the workload efficiently in cloud computing environment. The results illustrated the improvement in the response time and overall cost of the cloud systemVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 613985394X ISBN 13: 9786139853946
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cloud computing technology has gained immense popularity in the recent years. It is the new word that describes an internet based computing technology which enables the users to access information and use various resources from the clouds from any location. This technology is evolving and developing with the increasing demands in the IT Sector and business environments. In this book the issue of load balancing in cloud environment is taken. A load balancing algorithm is developed using the genetic algorithm concept which is based on the evolutionary mechanism. On the basis of two parameters, response time and overall cost, a genetic algorithm is developed to balance the workload efficiently in cloud computing environment. The results illustrated the improvement in the response time and overall cost of the cloud system.