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Published by Springer-Verlag New York Inc, 2017
ISBN 10: 9811052778 ISBN 13: 9789811052774
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 136 pages. 9.00x6.00x0.25 inches. In Stock.
Published by Springer Nature Singapore, 2017
ISBN 10: 9811052778 ISBN 13: 9789811052774
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a systematic and practical overview of Quality of Service prediction in cloud and service computing. Intended to thoroughly prepare the reader for research in cloud performance, the book first identifies common problems in QoS prediction and proposes three QoS prediction models to address them. Then it demonstrates the benefits of QoS prediction in two QoS-aware research areas. Lastly, it collects large-scale real-world temporal QoS data and publicly releases the datasets, making it a valuable resource for the research community. The book will appeal to professionals involved in cloud computing and graduate students working on QoS-related problems.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Qos Prediction in Cloud and Service Computing | Approaches and Applications | Yilei Zhang (u. a.) | Taschenbuch | xi | Englisch | 2017 | Springer Singapore | EAN 9789811052774 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Published by SPRINGER NATURE Aug 2017, 2017
ISBN 10: 9811052778 ISBN 13: 9789811052774
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a systematic and practical overview of Quality of Service prediction in cloud and service computing. Intended to thoroughly prepare the reader for research in cloud performance, the book first identifies common problems in QoS prediction and proposes three QoS prediction models to address them. Then it demonstrates the benefits of QoS prediction in two QoS-aware research areas. Lastly, it collects large-scale real-world temporal QoS data and publicly releases the datasets, making it a valuable resource for the research community. The book will appeal to professionals involved in cloud computing and graduate students working on QoS-related problems. 122 pp. Englisch.
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Expose readers to the very forefront of performance research in cloud computing  Presents three QoS prediction approaches in cloud and service computing  Provides comprehensive information on QoS-aware technologies in clo.