Fog and Edge Computing (eBook, PDF)

Principles and Paradigms
Redaktion: Buyya, Rajkumar; Srirama, Satish Narayana

• Format: PDF

Produktbeschreibung

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 and industrial machinery. Responding to the ever-increasing bandwidth demands of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data more efficiently than traditional cloud architecture. Fog and Edge Computing: Principles and Paradigms provides a comprehensive overview of the state-of-the-art applications and architectures driving this dynamic field of computing while highlighting potential research directions and emerging technologies. Exploring topics such as developing scalable architectures, moving from closed systems to open systems, and ethical issues rising from data sensing, this timely book addresses both the challenges and opportunities that Fog and Edge computing presents. Contributions from leading IoT experts discuss federating Edge resources, middleware design issues, data management and predictive analysis, smart transportation and surveillance applications, and more. A coordinated and integrated presentation of topics helps readers gain thorough knowledge of the foundations, applications, and issues that are central to Fog and Edge computing. This valuable resource: * Provides insights on transitioning from current Cloud-centric and 4G/5G wireless environments to Fog Computing * Examines methods to optimize virtualized, pooled, and shared resources * Identifies potential technical challenges and offers suggestions for possible solutions * Discusses major components of Fog and Edge computing architectures such as middleware, interaction protocols, and autonomic management * Includes access to a website portal for advanced online resources Fog and Edge Computing: Principles and Paradigms is an essential source of up-to-date information for systems architects, developers, researchers, and advanced undergraduate and graduate students in fields of computer science and engineering.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 512
• Erscheinungstermin: 31. Dezember 2018
• Englisch
• ISBN-13: 9781119525011
• Artikelnr.: 55034738

Autorenporträt

Rajkumar Buyya, PhD, is Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia and founding CEO of Manjrasoft. Dr. Buyya is author of several works including Mastering Cloud Computing and Editor-in-Chief of Wiley Software: Practice and Experience Journal. Satish Narayana Srirama, PhD, is a Research Professor and head of the Mobile & Cloud Lab, Institute of Computer Science, University of Tartu, Estonia. He is editor of Wiley Software: Practice and Experience Journal and has co-authored over 120 scientific publications.

Inhaltsangabe

List of Contributors xix

Preface xxiii

Acknowledgments xxvii

Part I Foundations 1

1 Internet of Things (IoT) and New Computing Paradigms 3
Chii Chang, Satish Narayana Srirama, and Rajkumar Buyya

1.1 Introduction 3

1.2 Relevant Technologies 6

1.3 Fog and Edge Computing Completing the Cloud 8

1.3.1 Advantages of FEC: SCALE 8

1.3.2 How FEC AchievesThese Advantages: SCANC 9

1.4 Hierarchy of Fog and Edge Computing 13

1.5 Business Models 16

1.6 Opportunities and Challenges 17

1.7 Conclusions 20

References 21

2 Addressing the Challenges in Federating Edge Resources 25
Ahmet Cihat Baktir, Cagatay Sonmez, CemErsoy, Atay Ozgovde, and Blesson Varghese

2.1 Introduction 25

2.2 The Networking Challenge 27

2.3 The Management Challenge 34

2.4 Miscellaneous Challenges 40

2.5 Conclusions 45

References 45

3 Integrating IoT + Fog + Cloud Infrastructures: System Modeling and Research Challenges 51
Guto Leoni Santos,Matheus Ferreira, Leylane Ferreira, Judith Kelner, Djamel Sadok, Edison Albuquerque, Theo Lynn, and Patricia Takako Endo

3.1 Introduction 51

3.2 Methodology 52

3.3 Integrated C2F2T Literature by Modeling Technique 55

3.4 Integrated C2F2T Literature by Use-Case Scenarios 65

3.5 Integrated C2F2T Literature by Metrics 68

3.6 Future Research Directions 72

3.7 Conclusions 73

Acknowledgments 74

References 75

4 Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds 79
Adel Nadjaran Toosi, RedowanMahmud, Qinghua Chi, and Rajkumar Buyya

4.1 Introduction 79

4.2 Background 80

4.3 Network Slicing in 5G 83

4.4 Network Slicing in Software-Defined Clouds 87

4.5 Network Slicing Management in Edge and Fog 91

4.6 Future Research Directions 93

4.7 Conclusions 96

Acknowledgments 96

References 96

5 Optimization Problems in Fog and Edge Computing 103
Zoltán Ádám Mann

5.1 Introduction 103

5.2 Background / RelatedWork 104

5.3 Preliminaries 105

5.4 The Case for Optimization in Fog Computing 107

5.5 Formal Modeling Framework for Fog Computing 108

5.6 Metrics 109

5.6.5 Further Quality Attributes 112

5.7 Optimization Opportunities along the Fog Architecture 113

5.8 Optimization Opportunities along the Service Life Cycle 114

5.9 Toward a Taxonomy of Optimization Problems in Fog Computing 115

5.10 Optimization Techniques 117

5.11 Future Research Directions 118

5.12 Conclusions 119

Acknowledgments 119

References 119

Part II Middlewares 123

6 Middleware for Fog and Edge Computing: Design Issues 125
Madhurima Pore, Vinaya Chakati, Ayan Banerjee, and Sandeep K. S. Gupta

6.1 Introduction 125

6.2 Need for Fog and Edge Computing Middleware 126

6.3 Design Goals 126

6.4 State-of-the-Art Middleware Infrastructures 128

6.5 System Model 129

6.6 Proposed Architecture 131

6.7 Case Study Example 136

6.8 Future Research Directions 137

6.9 Conclusions 139

References 139

7 A Lightweight Container Middleware for Edge Cloud Architectures 145
David von Leon, LorenzoMiori, Julian Sanin, Nabil El Ioini, Sven Helmer, and Claus Pahl

7.1 Introduction 145

7.2 Background/RelatedWork 146

7.3 Clusters for Lightweight Edge C