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Discusses the challenges of bandwidth scarcity due to mobile data explosion and their solutions
The rapidly growing popularity of Smartphones and other mobile devices has resulted in an exponential growth of mobile data. There is insufficient radio spectrum to cope with this growing data demand, and upgrading existing networks to meet the demands of mobile data explosion is expensive.
Techniques for Surviving the Mobile Data Explosion is about the different approaches that can be used to address the challenges of limited bandwidth. It examines these challenges from the perspective of the…mehr
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Discusses the challenges of bandwidth scarcity due to mobile data explosion and their solutions
The rapidly growing popularity of Smartphones and other mobile devices has resulted in an exponential growth of mobile data. There is insufficient radio spectrum to cope with this growing data demand, and upgrading existing networks to meet the demands of mobile data explosion is expensive.
Techniques for Surviving the Mobile Data Explosion is about the different approaches that can be used to address the challenges of limited bandwidth. It examines these challenges from the perspective of the mobile network operators, mobile applications developers, and enterprises that deploy mobile applications for their employees.
The book provides:
Comprehensive yet easy-to-understand information that is free of technical jargon, complex mathematical notation, and multiple acronyms
Easy-to-understand figures as well as a comprehensive set of references
A cross-disciplinary approach spanning the areas of cellular networks, IP networks, and mobile applications
Techniques for Surviving the Mobile Data Explosion is ideal for wireless application developers and mobile network operators.
The rapidly growing popularity of Smartphones and other mobile devices has resulted in an exponential growth of mobile data. There is insufficient radio spectrum to cope with this growing data demand, and upgrading existing networks to meet the demands of mobile data explosion is expensive.
Techniques for Surviving the Mobile Data Explosion is about the different approaches that can be used to address the challenges of limited bandwidth. It examines these challenges from the perspective of the mobile network operators, mobile applications developers, and enterprises that deploy mobile applications for their employees.
The book provides:
Comprehensive yet easy-to-understand information that is free of technical jargon, complex mathematical notation, and multiple acronyms
Easy-to-understand figures as well as a comprehensive set of references
A cross-disciplinary approach spanning the areas of cellular networks, IP networks, and mobile applications
Techniques for Surviving the Mobile Data Explosion is ideal for wireless application developers and mobile network operators.
Produktdetails
- Produktdetails
- IEEE Press Series on Digital & Mobile Communication
- Verlag: Wiley & Sons
- 1. Auflage
- Seitenzahl: 224
- Erscheinungstermin: 14. April 2014
- Englisch
- Abmessung: 231mm x 152mm x 18mm
- Gewicht: 295g
- ISBN-13: 9781118290576
- ISBN-10: 1118290577
- Artikelnr.: 39045820
- IEEE Press Series on Digital & Mobile Communication
- Verlag: Wiley & Sons
- 1. Auflage
- Seitenzahl: 224
- Erscheinungstermin: 14. April 2014
- Englisch
- Abmessung: 231mm x 152mm x 18mm
- Gewicht: 295g
- ISBN-13: 9781118290576
- ISBN-10: 1118290577
- Artikelnr.: 39045820
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.
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 Power Mode Management
151 11.4 Communication and Computation Clustering
151 11.5 Efficient Resource Usage
153 11.6 Best Practices for Application Power Efficiency
154 12 BANDWIDTH EFFICIENCY FOR MOBILE APPLICATIONS 159 12.1 Preloading
160 12.2 Communication Clustering
160 12.3 Context-Aware Communication
161 12.4 Disconnected Operation
162 12.5 Caching
163 12.6 Compression
163 12.7 Control Traffic Implications
164 12.8 Best Practices for Bandwidth Efficiency
165 13 MOBILE DATA ISSUES FOR THE ENTERPRISE 171 13.1 Mobile-Related Issues for the Enterprise
172 13.2 Security Issues
173 13.3 Backward Compatibility
180 13.4 Infrastructure Issues
182 14 RELATED TOPICS 185 14.1 Machine-to-Machine Communications
185 14.2 Internet of Things
186 14.3 Participatory Sensing
187 14.4 Mobile Transformation of Business
188 14.5 Software-Defined Networks
189 14.6 Mobile First Philosophy
190 14.7 Network Analytics
191 14.8 Conclusions
192 REFERENCES 193 INDEX 199
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 Power Mode Management
151 11.4 Communication and Computation Clustering
151 11.5 Efficient Resource Usage
153 11.6 Best Practices for Application Power Efficiency
154 12 BANDWIDTH EFFICIENCY FOR MOBILE APPLICATIONS 159 12.1 Preloading
160 12.2 Communication Clustering
160 12.3 Context-Aware Communication
161 12.4 Disconnected Operation
162 12.5 Caching
163 12.6 Compression
163 12.7 Control Traffic Implications
164 12.8 Best Practices for Bandwidth Efficiency
165 13 MOBILE DATA ISSUES FOR THE ENTERPRISE 171 13.1 Mobile-Related Issues for the Enterprise
172 13.2 Security Issues
173 13.3 Backward Compatibility
180 13.4 Infrastructure Issues
182 14 RELATED TOPICS 185 14.1 Machine-to-Machine Communications
185 14.2 Internet of Things
186 14.3 Participatory Sensing
187 14.4 Mobile Transformation of Business
188 14.5 Software-Defined Networks
189 14.6 Mobile First Philosophy
190 14.7 Network Analytics
191 14.8 Conclusions
192 REFERENCES 193 INDEX 199
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 Power Mode Management
151 11.4 Communication and Computation Clustering
151 11.5 Efficient Resource Usage
153 11.6 Best Practices for Application Power Efficiency
154 12 BANDWIDTH EFFICIENCY FOR MOBILE APPLICATIONS 159 12.1 Preloading
160 12.2 Communication Clustering
160 12.3 Context-Aware Communication
161 12.4 Disconnected Operation
162 12.5 Caching
163 12.6 Compression
163 12.7 Control Traffic Implications
164 12.8 Best Practices for Bandwidth Efficiency
165 13 MOBILE DATA ISSUES FOR THE ENTERPRISE 171 13.1 Mobile-Related Issues for the Enterprise
172 13.2 Security Issues
173 13.3 Backward Compatibility
180 13.4 Infrastructure Issues
182 14 RELATED TOPICS 185 14.1 Machine-to-Machine Communications
185 14.2 Internet of Things
186 14.3 Participatory Sensing
187 14.4 Mobile Transformation of Business
188 14.5 Software-Defined Networks
189 14.6 Mobile First Philosophy
190 14.7 Network Analytics
191 14.8 Conclusions
192 REFERENCES 193 INDEX 199
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 Power Mode Management
151 11.4 Communication and Computation Clustering
151 11.5 Efficient Resource Usage
153 11.6 Best Practices for Application Power Efficiency
154 12 BANDWIDTH EFFICIENCY FOR MOBILE APPLICATIONS 159 12.1 Preloading
160 12.2 Communication Clustering
160 12.3 Context-Aware Communication
161 12.4 Disconnected Operation
162 12.5 Caching
163 12.6 Compression
163 12.7 Control Traffic Implications
164 12.8 Best Practices for Bandwidth Efficiency
165 13 MOBILE DATA ISSUES FOR THE ENTERPRISE 171 13.1 Mobile-Related Issues for the Enterprise
172 13.2 Security Issues
173 13.3 Backward Compatibility
180 13.4 Infrastructure Issues
182 14 RELATED TOPICS 185 14.1 Machine-to-Machine Communications
185 14.2 Internet of Things
186 14.3 Participatory Sensing
187 14.4 Mobile Transformation of Business
188 14.5 Software-Defined Networks
189 14.6 Mobile First Philosophy
190 14.7 Network Analytics
191 14.8 Conclusions
192 REFERENCES 193 INDEX 199