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Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions (Intelligent Systems Reference Library, 163) - Softcover

 
9789811387616: Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions (Intelligent Systems Reference Library, 163)

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9789811387586: Multimedia Big Data Computing for IoT Applications: Concepts, Paradigms and Solutions (Intelligent Systems Reference Library, 163)

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Publisher: Springer, 2019
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ISBN 10: 9811387613 ISBN 13: 9789811387616
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms. 492 pp. Englisch. Seller Inventory # 9789811387616

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Tanwar, Sudeep|Tyagi, Sudhanshu|Kumar, Neeraj
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines the unique nature and complexity of MMBD computing for IoT applications&nbspIncludes of case studies to demonstrate the process model&nbspDiscusses the layered architecture of MMBD computing a. Seller Inventory # 458826717

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms. Seller Inventory # 9789811387616

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