Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents case studies to demonstrate the process model for tackling future challenges associated with FDADiscusses the layered architecture of FDA and also compares the life cycle of both big data and FDA. Codice articolo 371316741

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Fog Data Analytics for IoT Applications

Sudeep Tanwar

Editore: Springer Nature Singapore Aug 2020, 2020

ISBN 10: 9811560439 ISBN 13: 9789811560439

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania

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Buch. Condizione: 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 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. 516 pp. Englisch. Codice articolo 9789811560439

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Fog Data Analytics for IoT Applications : Next Generation Process Model with State of the Art Technologies

Sudeep Tanwar

Editore: Springer Nature Singapore, Springer Nature Singapore, 2020

ISBN 10: 9811560439 ISBN 13: 9789811560439

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Da: AHA-BUCH GmbH, Einbeck, Germania

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Buch. Condizione: 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. Codice articolo 9789811560439

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