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Fog Data Analytics for IoT Applications: Next Generation Process Model with State of the Art Technologies (Studies in Big Data, 76) - Softcover

 
9789811560460: Fog Data Analytics for IoT Applications: Next Generation Process Model with State of the Art Technologies (Studies in Big Data, 76)
  • PublisherSpringer
  • Publication date2021
  • ISBN 10 9811560463
  • ISBN 13 9789811560460
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages512
  • EditorTanwar Sudeep

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9789811560439: Fog Data Analytics for IoT Applications: Next Generation Process Model with State of the Art Technologies (Studies in Big Data, 76)

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ISBN 10:  9811560439 ISBN 13:  9789811560439
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDA in IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy. 516 pp. Englisch. Seller Inventory # 9789811560460

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ISBN 10: 9811560463 ISBN 13: 9789811560460
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. To deal with this big data, we require efficient and effective solutions, such as data mining, data analy. Seller Inventory # 492762278

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDAin IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy. Seller Inventory # 9789811560460

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Tanwar, Sudeep (Editor)
Published by Springer Nature, 2021
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