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Fog Computing

Overview of attention for book
Cover of 'Fog Computing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Fog Computing: Concepts, Principles and Related Paradigms
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    Chapter 2 Fog Computing in the IoT Environment: Principles, Features, and Models
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    Chapter 3 Dichotomy of Fog Computing in the Realm of Cloud Computing: Exploring the Emerging Dimensions
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    Chapter 4 Fog Computing in a Developing World Context: Jumping on the Bandwagon
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    Chapter 5 Analyzing IoT, Fog and Cloud Environments Using Real Sensor Data
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    Chapter 6 Performance Enhancement of Fog Computing Using SDN and NFV Technologies
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    Chapter 7 Mechanisms Towards Enhanced Quality of Experience (QoE) in Fog Computing Environments
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    Chapter 8 Specifying Software Services for Fog Computing Architectures Using Recursive Model Transformations
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    Chapter 9 A Data Utility Model for Data-Intensive Applications in Fog Computing Environments
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    Chapter 10 Context-Aware Intelligent Systems for Fog Computing Environments for Cyber-Threat Intelligence
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    Chapter 11 SEF-SCC: Software Engineering Framework for Service and Cloud Computing
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    Chapter 12 Data and Computation Movement in Fog Environments: The DITAS Approach
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    Chapter 13 Toward Edge-based Caching in Software-defined Heterogeneous Vehicular Networks
Attention for Chapter 5: Analyzing IoT, Fog and Cloud Environments Using Real Sensor Data
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Readers on

mendeley
14 Mendeley
Summary
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Chapter title
Analyzing IoT, Fog and Cloud Environments Using Real Sensor Data
Chapter number 5
Book title
Fog Computing
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-94890-4_5
Book ISBNs
978-3-31-994889-8, 978-3-31-994890-4
Authors

Tamas Pflanzner, Attila Kertesz

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 14%
Student > Bachelor 2 14%
Student > Ph. D. Student 2 14%
Student > Master 1 7%
Researcher 1 7%
Other 1 7%
Unknown 5 36%
Readers by discipline Count As %
Computer Science 4 29%
Engineering 2 14%
Arts and Humanities 1 7%
Medicine and Dentistry 1 7%
Social Sciences 1 7%
Other 0 0%
Unknown 5 36%

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