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Published by Elsevier Science Publishing Co Inc, 2013
ISBN 10: 0124077676 ISBN 13: 9780124077676
Language: English
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Taschenbuch. Condition: Neu. Computation and Storage in the Cloud | Understanding the Trade-Offs | Dong Yuan (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2013 | Elsevier | EAN 9780124077676 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Published by Elsevier Science Ltd, 2013
ISBN 10: 0124077676 ISBN 13: 9780124077676
Language: English
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Paperback. Condition: Brand New. 113 pages. 8.75x6.00x0.25 inches. In Stock. This item is printed on demand.
Published by Elsevier Science Publishing Co Inc, 2013
ISBN 10: 0124077676 ISBN 13: 9780124077676
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 212.
Published by Elsevier Science & Technology, Elsevier, 2013
ISBN 10: 0124077676 ISBN 13: 9780124077676
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computation and Storage in the Cloud is the first comprehensive and systematic work investigating the issue of computation and storage trade-off in the cloud in order to reduce the overall application cost. Scientific applications are usually computation and data intensive, where complex computation tasks take a long time for execution and the generated datasets are often terabytes or petabytes in size. Storing valuable generated application datasets can save their regeneration cost when they are reused, not to mention the waiting time caused by regeneration. However, the large size of the scientific datasets is a big challenge for their storage. By proposing innovative concepts, theorems and algorithms, this book will help bring the cost down dramatically for both cloud users and service providers to run computation and data intensive scientific applications in the cloud. Covers cost models and benchmarking that explain the necessary tradeoffs for both cloud providers and users Describes several novel strategies for storing application datasets in the cloud Includes real-world case studies of scientific research applications.