Librería: Big River Books, Powder Springs, GA, Estados Unidos de America
EUR 51,96
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Añadir al carritoCondición: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
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Añadir al carritopaperback. Condición: Fine.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 65,41
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 67,74
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 60,21
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 74,71
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Añadir al carritoCondición: New. First edition Includes bibliographical references and index.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 66,17
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 66,65
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6139475767 ISBN 13: 9786139475766
Librería: moluna, Greven, Alemania
EUR 34,25
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 75,75
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 94,95
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Añadir al carritoPaperback. Condición: Brand New. 218 pages. 9.18x6.12x9.21 inches. In Stock.
Idioma: Español
Publicado por Ediciones Nuestro Conocimiento, 2021
ISBN 10: 6204109146 ISBN 13: 9786204109145
Librería: moluna, Greven, Alemania
EUR 34,25
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 174,64
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 175,83
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Idioma: Inglés
Publicado por H N H International Limited, 2022
ISBN 10: 1032028203 ISBN 13: 9781032028200
Librería: Majestic Books, Hounslow, Reino Unido
EUR 185,86
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 191,22
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 186,75
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Idioma: Inglés
Publicado por H N H International Limited, 2022
ISBN 10: 1032028203 ISBN 13: 9781032028200
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 201,18
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Añadir al carritoCondición: New. 1st edition NO-PA16APR2015-KAP.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 201,32
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 212,16
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 257,23
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Añadir al carritoHardcover. Condición: Brand New. 232 pages. 9.18x6.12x0.87 inches. In Stock.
Idioma: Francés
Publicado por Editions Notre Savoir, 2021
ISBN 10: 6204109197 ISBN 13: 9786204109190
Librería: moluna, Greven, Alemania
EUR 34,25
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Añadir al carritoCondición: New.
Idioma: Portugués
Publicado por Edicoes Nosso Conhecimento, 2021
ISBN 10: 6204109219 ISBN 13: 9786204109213
Librería: moluna, Greven, Alemania
EUR 34,25
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EUR 34,25
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Añadir al carritoCondición: New.
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 59,25
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Machine Learning and Models for Optimization in Clouds main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition.This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud.Key Features Comprehensive introduction to cloud architecture and its service models. Vulnerability and issues in cloud SAAS, PAAS and IAAS Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models Detailed study of optimization techniques, and fault management techniques in multi layered cloud. Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. Advanced study of algorithms using artificial intelligence for optimization in cloud Method for power efficient virtual machine placement using neural network in cloud Method for task scheduling using metaheuristic algorithms. A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment.This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence. Cloud computing has been a new trend in problem-solving and providing reliable computing platform for big and high computational tasks. This technique is used for business industries like banking, trading and many e-commerce businesses to accommodate high request rate, high availability for all time without stopping system and system failure. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 76,99
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 73,95
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Librería: CitiRetail, Stevenage, Reino Unido
EUR 60,22
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Añadir al carritoPaperback. Condición: new. Paperback. Machine Learning and Models for Optimization in Clouds main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition.This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud.Key Features Comprehensive introduction to cloud architecture and its service models. Vulnerability and issues in cloud SAAS, PAAS and IAAS Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models Detailed study of optimization techniques, and fault management techniques in multi layered cloud. Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. Advanced study of algorithms using artificial intelligence for optimization in cloud Method for power efficient virtual machine placement using neural network in cloud Method for task scheduling using metaheuristic algorithms. A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment.This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence. Cloud computing has been a new trend in problem-solving and providing reliable computing platform for big and high computational tasks. This technique is used for business industries like banking, trading and many e-commerce businesses to accommodate high request rate, high availability for all time without stopping system and system failure. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 122,15
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Machine Learning and Models for Optimization in Clouds main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition.This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud.Key Features Comprehensive introduction to cloud architecture and its service models. Vulnerability and issues in cloud SAAS, PAAS and IAAS Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models Detailed study of optimization techniques, and fault management techniques in multi layered cloud. Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. Advanced study of algorithms using artificial intelligence for optimization in cloud Method for power efficient virtual machine placement using neural network in cloud Method for task scheduling using metaheuristic algorithms. A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment.This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence. Cloud computing has been a new trend in problem-solving and providing reliable computing platform for big and high computational tasks. This technique is used for business industries like banking, trading and many e-commerce businesses to accommodate high request rate, high availability for all time without stopping system and system failure. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.