Fog and Edge Computing : Principles and Paradigms.

Fog and Edge Computing : Principles and Paradigms.

A comprehensive guide to Fog and Edge applications, architectures, and technologies Recent years have seen the explosive growth of the Internet of Things "IoT": the internet- connected network of devices that includes everything from personal electronics and home appliances to automobiles...

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Bibliographic Details
Main Author: Buyya, Rajkumar
Other Authors: Srirama, Satish Narayana
Format: eBook
Language:English
Published: Newark : John Wiley & Sons, Incorporated, 2018.
Subjects:
Cloud computing.
Electronic data processing > Distributed processing.
Cloud computing
Electronic data processing > Distributed processing
Online Access:Click for online access
Table of Contents:
  • Cover; Title Page; Copyright; Contents; List of Contributors; Preface; Acknowledgments; Part I Foundations; Chapter 1 Internet of Things (IoT) and New Computing Paradigms; 1.1 Introduction; 1.2 Relevant Technologies; 1.3 Fog and Edge Computing Completing the Cloud; 1.3.1 Advantages of FEC: SCALE; 1.3.1.1 Security; 1.3.1.2 Cognition; 1.3.1.3 Agility; 1.3.1.4 Latency; 1.3.1.5 Efficiency; 1.3.2 How FEC Achieves These Advantages: SCANC; 1.3.2.1 Storage; 1.3.2.2 Compute; 1.3.2.3 Acceleration; 1.3.2.4 Networking; 1.3.2.5 Control; 1.4 Hierarchy of Fog and Edge Computing; 1.4.1 Inner-Edge
  • 1.4.2 Middle-Edge1.4.2.1 Local Area Network; 1.4.2.2 Cellular Network; 1.4.3 Outer-Edge; 1.4.3.1 Constraint Devices; 1.4.3.2 Integrated Devices; 1.4.3.3 IP Gateway Devices; 1.5 Business Models; 1.5.1 X as a Service; 1.5.2 Support Service; 1.5.3 Application Service; 1.6 Opportunities and Challenges; 1.6.1 Out-of-Box Experience; 1.6.1.1 OOBE-Based Equipment; 1.6.1.2 OOBE-Based Software; 1.6.2 Open Platforms; 1.6.2.1 OpenStack++; 1.6.2.2 WSO2-IoT Server; 1.6.2.3 Apache Edgent; 1.6.3 System Management; 1.6.3.1 Design; 1.6.3.2 Implementation; 1.6.3.3 Adjustment; 1.7 Conclusions; References
  • Chapter 2 Addressing the Challenges in Federating Edge Resources2.1 Introduction; 2.2 The Networking Challenge; 2.2.1 Networking Challenges in a Federated Edge Environment; 2.2.1.1 A Service-Centric Model; 2.2.1.2 Reliability and Service Mobility; 2.2.1.3 Multiple Administrative Domains; 2.2.2 Addressing the Networking Challenge; 2.2.3 Future Research Directions; 2.3 The Management Challenge; 2.3.1 Management Challenges in a Federated Edge Environment; 2.3.1.1 Discovering Edge Resources; 2.3.1.2 Deploying Services and Applications; 2.3.1.3 Migrating Services across the Edge
  • 2.3.1.4 Load Balancing2.3.2 Current Research; 2.3.3 Addressing the Management Challenges; 2.3.3.1 Edge-as-a-Service (EaaS) Platform; 2.3.3.2 Edge Node Resource Management (ENORM) Framework; 2.3.4 Future Research Directions; 2.4 Miscellaneous Challenges; 2.4.1 The Research Challenge; 2.4.1.1 Defined Edge Nodes; 2.4.1.2 Unified Architectures to Account for Heterogeneity; 2.4.1.3 Public Usability of Edge Nodes; 2.4.1.4 Interoperability with Communication Networks; 2.4.1.5 Network Slices for Edge Systems; 2.4.2 The Modeling Challenge; 2.4.2.1 Computational Resource Modeling
  • 2.4.2.2 Demand Modeling2.4.2.3 Mobility Modeling; 2.4.2.4 Network Modeling; 2.4.2.5 Simulator Efficiency; 2.5 Conclusions; References; Chapter 3 Integrating IoT + Fog + Cloud Infrastructures: System Modeling and Research Challenges; 3.1 Introduction; 3.2 Methodology; 3.3 Integrated C2F2T Literature by Modeling Technique; 3.3.1 Analytical Models; 3.3.2 Petri Net Models; 3.3.3 Integer Linear Programming; 3.3.4 Other Approaches; 3.4 Integrated C2F2T Literature by Use-Case Scenarios; 3.5 Integrated C2F2T Literature by Metrics; 3.5.1 Energy Consumption; 3.5.2 Performance

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