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Record Nr. |
UNINA9910254836203321 |
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Autore |
Zhang Yilei |
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Titolo |
QoS Prediction in Cloud and Service Computing : Approaches and Applications / / by Yilei Zhang, Michael R. Lyu |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (130 pages) |
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Collana |
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SpringerBriefs in Computer Science, , 2191-5768 |
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Disciplina |
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Soggetti |
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Computer software—Reusability |
Software engineering |
Application software |
Performance and Reliability |
Software Engineering |
Information Systems Applications (incl. Internet) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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1. Introduction -- 2. Neighborhood-Based QoS Prediction -- 3. Time-Aware Model-Based QoS Prediction -- 4. Online QoS Prediction -- 5. QoS-AwareWeb Service Searching -- 6. QoS-Aware Byzantine Fault Tolerance -- 7. Conclusion and Discussion. |
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Sommario/riassunto |
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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. . |
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