Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139583225 ISBN 13: 9786139583225
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 113,37
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Aggiungi al carrelloPaperback. Condizione: Brand New. 164 pages. 8.66x5.91x0.37 inches. In Stock.
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139583225 ISBN 13: 9786139583225
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 52,90
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lathar PankajPankaj Lather, currently working as senior faculty in the Department of Information Technology, at CBP Government Engineering College, Jaffarpur since 2010. He is selected by Union Public Service Commission for the same.
Editore: LAP LAMBERT Academic Publishing Mrz 2018, 2018
ISBN 10: 6139583225 ISBN 13: 9786139583225
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 64,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Cloud Computing is emerging as a new computing paradigm where in scalable and virtualized resources it is provided as a service to the user. It employs a model for enabling available, convenient and on-demand network access to a shared pool of configurable computing resources like networks, servers, storage, software, applications and services that can be rapidly provisioned and released with minimal management effort. There are many vendors who provide cloud services. In this thesis based work, Aneka, Hadoop, and Flink platforms are explored for various experimental purposes. As fast access of data from the cloud is a major challenge, this book explores many existing literature sources to develop better architectures and algorithms for efficient data access from cloud. 164 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing Mär 2018, 2018
ISBN 10: 6139583225 ISBN 13: 9786139583225
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 64,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The Cloud Computing is emerging as a new computing paradigm where in scalable and virtualized resources it is provided as a service to the user. It employs a model for enabling available, convenient and on-demand network access to a shared pool of configurable computing resources like networks, servers, storage, software, applications and services that can be rapidly provisioned and released with minimal management effort. There are many vendors who provide cloud services. In this thesis based work, Aneka, Hadoop, and Flink platforms are explored for various experimental purposes. As fast access of data from the cloud is a major challenge, this book explores many existing literature sources to develop better architectures and algorithms for efficient data access from cloud.Books on Demand GmbH, Überseering 33, 22297 Hamburg 164 pp. Englisch.
Editore: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139583225 ISBN 13: 9786139583225
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 65,68
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Cloud Computing is emerging as a new computing paradigm where in scalable and virtualized resources it is provided as a service to the user. It employs a model for enabling available, convenient and on-demand network access to a shared pool of configurable computing resources like networks, servers, storage, software, applications and services that can be rapidly provisioned and released with minimal management effort. There are many vendors who provide cloud services. In this thesis based work, Aneka, Hadoop, and Flink platforms are explored for various experimental purposes. As fast access of data from the cloud is a major challenge, this book explores many existing literature sources to develop better architectures and algorithms for efficient data access from cloud.