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Lingua: Inglese
Editore: H N H International Limited, 2024
ISBN 10: 1032600071 ISBN 13: 9781032600079
Da: Majestic Books, Hounslow, Regno Unito
EUR 204,92
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Aggiungi al carrelloCondizione: New. pp. 248.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 197,40
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Lingua: Inglese
Editore: H N H International Limited, 2024
ISBN 10: 1032600071 ISBN 13: 9781032600079
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 248 1st Editin NO-PA16APR2015-KAP.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 214,48
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 280 pages. French language. 9.18x6.12x8.66 inches. In Stock.
Editore: Chapman and Hall/CRC, 2024
Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Fine.
Lingua: Inglese
Editore: Chapman And Hall/CRC Sep 2024, 2024
ISBN 10: 1032600071 ISBN 13: 9781032600079
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 195,80
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and metaheuristic approaches for placement techniques. Taking into consideration the challenges of energy-efficient resource management in cloud data centers, it emphasizes upon computing resources being suitably utilised to serve application workloads in order to reduce energy utilisation, while maintaining apt performance. This book provides information on fault-tolerant mechanisms in the cloud and provides an outlook on task scheduling techniques.Focuses on virtual machine placement and migration techniques for cloud data centersPresents the role of machine learning and metaheuristic approaches for optimisation in cloud computing servicesIncludes application of placement techniques for quality of service, performance, and reliability improvementExplores data center resource management, load balancing and orchestration using machine learning techniquesAnalyses dynamic and scalable resource scheduling with a focus on resource managementThe text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology. 264 pp. Englisch.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 228,64
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: H N H International Limited, 2024
ISBN 10: 1032600071 ISBN 13: 9781032600079
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 231,68
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 248.
Da: moluna, Greven, Germania
EUR 200,77
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Madhusudhan H S is currently working as Associate Professor in the Department of computer science and Engineering at Vidyavardhaka College of Engineering, Mysuru, Karnataka, India. He has published scientific research publications in reputed I.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 214,96
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and metaheuristic approaches for placement techniques. Taking into consideration the challenges of energy-efficient resource management in cloud data centers, it emphasizes upon computing resources being suitably utilised to serve application workloads in order to reduce energy utilisation, while maintaining apt performance. This book provides information on fault-tolerant mechanisms in the cloud and provides an outlook on task scheduling techniques.Focuses on virtual machine placement and migration techniques for cloud data centersPresents the role of machine learning and metaheuristic approaches for optimisation in cloud computing servicesIncludes application of placement techniques for quality of service, performance, and reliability improvementExplores data center resource management, load balancing and orchestration using machine learning techniquesAnalyses dynamic and scalable resource scheduling with a focus on resource managementThe text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology.