Techniques for Surviving the Mobile Data Explosion - Dinesh Verma

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Résumé :

Preface xiii

About the Authors xix

I Introduction and General Observations 1

1 Technologies Supporting Mobile Data 3

1.1 Introduction / 3

1.2 Computer Communication Networks / 5

1.3 IP Networks / 9

1.4 Cellular Data Networks / 12

1.5 Mobile Applications / 14

2 Mobile Data Ecosystem 17

2.1 Introduction / 17

2.2 Mobile Data Ecosystem / 17

2.3 Mobile Data Growth / 22

2.4 Where is the Bottleneck? / 23

2.5 Impact of Mobile Data Growth on the Ecosystem / 25

3 An Overview of Techniques For Bandwidth Optimization 29

3.1 Introduction / 29

3.2 Network Model / 30

3.3 Object Caching / 32

3.4 Object Compression / 34

3.5 Packet Compression / 35

3.6 Flow Sharing / 37

3.7 Content Transformation / 40

3.8 Just-in-Time Transmission / 41

3.9 Rate Control / 42

3.10 Service Differentiation / 43

4 An Overview of Techniques For Cost Reduction 45

4.1 Introduction / 45

4.2 Infrastructure Sharing / 47

4.3 Virtualization / 48

4.4 Consolidation / 49

4.5 IT Usage in Networks / 52

II Techniques for Mobile Network Operators 55

5 Bandwidth Optimization and Cost Reduction In the Radio Access Network 57

5.1 Introduction / 57

5.2 Upgrading the RAN / 58

5.3 Leveraging Additional Bandwidth / 65

5.4 Bandwidth Management / 68

5.5 Nontechnical Approaches / 72

6 Bandwidth Optimization and Cost Reduction in Backhaul And Core Networks 75

6.1 Overview of Backhaul and Core Networks / 75

6.2 Technology Upgrade / 79

6.3 Traffic Offload / 80

6.4 Compression / 80

6.5 Transformation / 81

6.6 Caching / 83

6.7 Consolidation in Core Networks / 87

6.8 Network Function Virtualization / 88

6.9 Cost Reduction of the Supporting Infrastructure / 90

7 Consumer-oriented Data Monetization Services 91

7.1 Mobile Network Operator Differentiators for Consumer Services / 92

7.2 Single Sign-on Service / 93

7.3 Privacy Service / 98

7.4 Content Customization Services / 101

7.5 Location-Based Services / 103

7.6 Phone-Based Commerce / 106

7.7 Other Services / 107

8 Enterprise-oriented Data Monetization Services 109

8.1 Model for Mobile Network Operator Services to the Enterprise / 110

8.2 Mobile Network Operator Differentiators for Enterprise Services / 111

8.3 Caching and Content Distribution / 114

8.4 Mobile Transformation / 115

8.5 Fog Computing / 116

8.6 Location-Based Services / 118

8.7 Secure Hypervisor Services / 120

9 Application Service Provider-oriented Data Monetization Services 123

9.1 Mobile Network Operator Differentiators for Application Service Providers / 124

9.2 Caching and Content Distribution / 126

9.3 Fog Computing / 127

9.4 Information Aggregation / 129

9.5 Information Augmentation / 130

9.6 Historical Information-Based Planning / 131

III Techniques for Enterprises and Application Developers 135

10 An Introduction to Mobile Applications 137

10.1 Anatomy of Mobile Applications / 138

10.2 Types of Mobile Applications / 139

10.3 Developing for Multiple Platforms / 141

10.4 Operating System Version Management / 143

10.5 Limited Resources / 144

10.6 General Application Development Considerations / 145

11 Power Efficiency for Mobile Applications 147

11.1 Model for Power Consumption / 148

11.2 Duty Cycling / 150

11.3 ...

Biographie:
DINESH CHANDRA VERMA is an IBM Fellow and Research Scientist at IBM T J Watson Research Center, New York. He has a PhD in Computer Science from the University of California, Berkeley. He is an IEEE Fellow, holds over fifty US patents, and has authored more than a hundred papers and nine books on computer networking. PARIDHI VERMA is a Marketing Manager at IBM Corporation. She has a Masters in Electrical Engineering from NYU Polytechnic School of Engineering. She holds a patent for the internet emergency alert system. In addition, she has authored and illustrated several children's books....