Fog Computing Internet Things by Chivukula Sree (5 results)

Taschenbuch. Condition: Neu. Neuware -Fog Computing with Internet of Things(IOT) is the new wave of technology after the Cloud Computing. The new disruption of the upcoming technology trend of IOT brought unexpected bursts of Volume, Variety and Velocity of Data, giving rise to Big Data scenarios. In this book, first of its kind, an attempt is made to briefly present the Definitions, Architectures, Applications of Fog Computing. The new challenges that Fog Computing throws up are in Security, Privacy and Stream based Analytics for the data coming out of the IOT Devices. Latency based Application Management, Load balancing in this context are also addressed. How the conventional machine learning techniques are required too be extended and adopted to big data scenarios that arise in the context of Fog Computing. The research directions, trends and challenges in Fog Computing that are discussed specially in the context of metadata for IOT data, data management with information lakes, data provenance and mobile Fog federation and migration issues are all presented. This book is aimed at students, both under graduate and graduate, researchers, faculty and practitioners in the Industry to understand what is Fog Computing.Books on Demand GmbH, Überseering 33, 22297 Hamburg 112 pp. Englisch.

Taschenbuch. Condition: Neu. Fog Computing and Internet of Things (IOT) | An Overview | Prabhu Chivukula Sree Rama | Taschenbuch | 112 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139847785 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Fog Computing with Internet of Things(IOT) is the new wave of technology after the Cloud Computing. The new disruption of the upcoming technology trend of IOT brought unexpected bursts of Volume, Variety and Velocity of Data, giving rise to Big Data scenarios. In this book, first of its kind, an attempt is made to briefly present the Definitions, Architectures, Applications of Fog Computing. The new challenges that Fog Computing throws up are in Security, Privacy and Stream based Analytics for the data coming out of the IOT Devices. Latency based Application Management, Load balancing in this context are also addressed. How the conventional machine learning techniques are required too be extended and adopted to big data scenarios that arise in the context of Fog Computing. The research directions, trends and challenges in Fog Computing that are discussed specially in the context of metadata for IOT data, data management with information lakes, data provenance and mobile Fog federation and migration issues are all presented. This book is aimed at students, both under graduate and graduate, researchers, faculty and practitioners in the Industry to understand what is Fog Computing. 112 pp. Englisch.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chivukula Sree Rama PrabhuDr. C. S .R. Prabhu is the former Director General (Scietntist G ) of National Informatics Centre(NIC), Ministry of Electronics and Informatiuon Technology, Govt. of India, New Delhi, India. He is currentl.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Fog Computing with Internet of Things(IOT) is the new wave of technology after the Cloud Computing. The new disruption of the upcoming technology trend of IOT brought unexpected bursts of Volume, Variety and Velocity of Data, giving rise to Big Data scenarios. In this book, first of its kind, an attempt is made to briefly present the Definitions, Architectures, Applications of Fog Computing. The new challenges that Fog Computing throws up are in Security, Privacy and Stream based Analytics for the data coming out of the IOT Devices. Latency based Application Management, Load balancing in this context are also addressed. How the conventional machine learning techniques are required too be extended and adopted to big data scenarios that arise in the context of Fog Computing. The research directions, trends and challenges in Fog Computing that are discussed specially in the context of metadata for IOT data, data management with information lakes, data provenance and mobile Fog federation and migration issues are all presented. This book is aimed at students, both under graduate and graduate, researchers, faculty and practitioners in the Industry to understand what is Fog Computing.