Fog for 5G and IoT (eBook, PDF)

Redaktion: Chiang, Mung; Bonomi, Flavio; Balasubramanian, Bharath

• Format: PDF

Produktbeschreibung

The book examines how Fog will change the information technology industry in the next decade. Fog distributes the services of computation, communication, control and storage closer to the edge, access and users. As a computing and networking architecture, Fog enables key applications in wireless 5G, the Internet of Things, and big data. The authors cover the fundamental tradeoffs to major applications of fog. The book chapters are designed to motivate a transition from the current cloud architectures to the Fog (Chapter 1), and the necessary architectural components to support such a transition (Chapters 2-6). The rest of the book (Chapters 7-xxx) are dedicated to reviewing the various 5G and IoT applications that will benefit from Fog networking. This volume is edited by pioneers in Fog and includes contributions by active researchers in the field. * Covers fog technologies and describes the interaction between fog and cloud * Presents a view of fog and IoT (encompassing ubiquitous computing) that combines the aspects of both industry and academia * Discusses the various architectural and design challenges in coordinating the interactions between M2M, D2D and fog technologies * "Fog for 5G and IoT" serves as an introduction to the evolving Fog architecture, compiling work from different areas that collectively form this paradigm

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 304
• Erscheinungstermin: 10. März 2017
• Englisch
• ISBN-13: 9781119187158
• Artikelnr.: 48035506

Autorenporträt

Mung Chiang is the Arthur LeGrand Doty Professor of Electrical Engineering at Princeton University, the Director of the Keller Center for Innovation in Engineering Education, and the Chair of Princeton Entrepreneurship Council, USA. Dr. Chiang founded the Princeton EDGE Lab in 2009 and a co-founder of OpenFog Consortium in 2015. He is the recipient of the 2013 Alan T. Waterman Award by US National Science Foundation. Bharath Balasubramanian is a distributed systems researcher in the Cloud Software Research Department at ATT Labs Research, USA. Prior to this, he was a postdoc in the Electrical Engineering Department at Princeton University, working with Mung Chiang in the EDGE Lab. Flavio Bonomi is the CEO of Nebbiolo Technologies, USA. Before that he was a Vice President and Fellow at Cisco, USA.

Inhaltsangabe

Contributors xi

Introduction 1
Bharath Balasubramanian, Mung Chiang, and Flavio Bonomi

I.1 Summary of Chapters 5

I.2 Acknowledgments 7

References 8

I Communication and Management of Fog 11

1 ParaDrop: An Edge Computing Platform in Home Gateways 13
Suman Banerjee, Peng Liu, Ashish Patro, and Dale Willis

1.1 Introduction 13

1.1.1 Enabling Multitenant Wireless Gateways and Applications through ParaDrop 14

1.1.2 ParaDrop Capabilities 15

1.2 Implementing Services for the ParaDrop Platform 17

1.3 Develop Services for ParaDrop 19

1.3.1 A Security Camera Service Using ParaDrop 19

1.3.2 An Environmental Sensor Service Using ParaDrop 22

References 23

2 Mind Your Own Bandwidth 24
Carlee Joe-Wong, Sangtae Ha, Zhenming Liu, Felix Ming Fai Wong, and Mung Chiang

2.1 Introduction 24

2.1.1 Leveraging the Fog 25

2.1.2 A Home Solution to a Home Problem 25

2.2 Related Work 28

2.3 Credit Distribution and Optimal Spending 28

2.3.1 Credit Distribution 29

2.3.2 Optimal Credit Spending 31

2.4 An Online Bandwidth Allocation Algorithm 32

2.4.1 Estimating Other Gateways' Spending 32

2.4.2 Online Spending Decisions and App Prioritization 34

2.5 Design and Implementation 35

2.5.1 Traffic and Device Classification 37

2.5.2 Rate Limiting Engine 37

2.5.3 Traffic Prioritization Engine 38

2.6 Experimental Results 39

2.6.1 Rate Limiting 39

2.6.2 Traffic Prioritization 41

2.7 Gateway Sharing Results 41

2.8 Concluding Remarks 45

Acknowledgments 46

Appendix 2.A 46

2.A.1 Proof of Lemma 2.1 46

2.A.2 Proof of Lemma 2.2 46

2.A.3 Proof of Proposition 2.1 47

2.A.4 Proof of Proposition 2.2 48

2.A.5 Proof of Proposition 2.3 49

2.A.6 Proof of Proposition 2.4 49

References 50

3 Socially-Aware Cooperative D2D and D4D Communications toward Fog Networking 52
Xu Chen, Junshan Zhang, and Satyajayant Misra

3.1 Introduction 52

3.1.1 From Social Trust and Social Reciprocity to D2D Cooperation 54

3.1.2 Smart Grid: An IoT Case for Socially-Aware Cooperative D2D and D4D Communications 55

3.1.3 Summary of Main Results 57

3.2 Related Work 58

3.3 System Model 59

3.3.1 Physical (Communication) Graph Model 60

3.3.2 Social Graph Model 61

3.4 Socially-Aware Cooperative D2D and D4D Communications toward Fog Networking 62

3.4.1 Social Trust-Based Relay Selection 63

3.4.2 Social Reciprocity-Based Relay Selection 63

3.4.3 Social Trust and Social Reciprocity-Based Relay Selection 68

3.5 Network Assisted Relay Selection Mechanism 69

3.5.1 Reciprocal Relay Selection Cycle Finding 69

3.5.2 NARS Mechanism 70

3.5.3 Properties of NARS Mechanism 73

3.6 Simulations 75

3.6.1 Erdos-Renyi Social Graph 76

3.6.2 Real Trace Based Social Graph 78

3.7 Conclusion 82

Acknowledgments 82

References 83

4 You Deserve Better Properties (From Your Smart Devices) 86
Steven Y. Ko

4.1 Why We Need to Provide Better Properties 86

4.2 Where We Need to Provide Better Properties 87

4.3 What Properties We Need to Provide and How 88

4.3.1 Transparency 88

4.3.2 Predictable Performance 93

4.3.3 Openness 99

4.4 Conclusions 102

Acknowledgment 102

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