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Cloud Computing for Optimization: Foundations, Applications, and Challenges: 39 (Studies in Big Data) - Softcover
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This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems - ranging from social science to engineering sciences - can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.
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This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems ranging from social science to engineering sciences can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.
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- VerlagSpringer
- Erscheinungsdatum2019
- ISBN 10 3030088324
- ISBN 13 9783030088323
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten480
- HerausgeberMishra Bhabani Shankar Prasad, Das Himansu, Dehuri Satchidananda, Jagadev Alok Kumar
- Kontakt zum HerstellerNicht verfügbar
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Cloud Computing for Optimization: Foundations, Applications, and Challenges
Verlag:
Springer International Publishing, 2019
ISBN 10: 3030088324
ISBN 13: 9783030088323
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes recent research on cloud computing for optimization Presents the state-of-the-art computing paradigms and advances in applications Proposes future directions for both the theories and applications of optimization techniques in cloud. Bestandsnummer des Verkäufers 273276616
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Cloud Computing for Optimization: Foundations, Applications, and Challenges
ISBN 10: 3030088324
ISBN 13: 9783030088323
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems - ranging from social science to engineering sciences - can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems. Bestandsnummer des Verkäufers 9783030088323
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Cloud Computing for Optimization: Foundations, Applications, and Challenges
Verlag:
Springer International Publishing Feb 2019, 2019
ISBN 10: 3030088324
ISBN 13: 9783030088323
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems - ranging from social science to engineering sciences - can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems. 480 pp. Englisch. Bestandsnummer des Verkäufers 9783030088323
Anzahl: 2 verfügbar
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Cloud Computing for Optimization: Foundations, Applications, and Challenges
ISBN 10: 3030088324
ISBN 13: 9783030088323
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -This book discusses harnessing the real power of cloud computing in optimization problems, presenting state-of-the-art computing paradigms, advances in applications, and challenges concerning both the theories and applications of cloud computing in optimization with a focus on diverse fields like the Internet of Things, fog-assisted cloud computing, and big data. In real life, many problems ¿ ranging from social science to engineering sciences ¿ can be identified as complex optimization problems. Very often these are intractable, and as a result researchers from industry as well as the academic community are concentrating their efforts on developing methods of addressing them. Further, the cloud computing paradigm plays a vital role in many areas of interest, like resource allocation, scheduling, energy management, virtualization, and security, and these areas are intertwined with many optimization problems. Using illustrations and figures, this book offers students and researchers a clear overview of the concepts and practices of cloud computing and its use in numerous complex optimization problems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 480 pp. Englisch. Bestandsnummer des Verkäufers 9783030088323
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Cloud Computing for Optimization: Foundations, Applications, and Challenges (Studies in Big Data, 39)
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Cloud Computing for Optimization: Foundations, Applications, and Challenges (Studies in Big Data, 39)
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Cloud Computing for Optimization: Foundations, Applications, and Challenges (Studies in Big Data)
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Cloud Computing for Optimization: Foundations, Applications, and Challenges (Studies in Big Data, 39)
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