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.

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• Preface xiiiAbout the Authors xixI Introduction and General Observations 11 Technologies Supporting Mobile Data 31.1 Introduction / 31.2 Computer Communication Networks / 51.3 IP Networks / 91.4 Cellular Data Networks / 121.5 Mobile Applications / 142 Mobile Data Ecosystem 172.1 Introduction / 172.2 Mobile Data Ecosystem / 172.3 Mobile Data Growth / 222.4 Where is the Bottleneck? / 232.5 Impact of Mobile Data Growth on the Ecosystem / 253 An Overview of Techniques For Bandwidth Optimization 293.1 Introduction / 293.2 Network Model / 303.3 Object Caching / 323.4 Object Compression / 343.5 Packet Compression / 353.6 Flow Sharing / 373.7 Content Transformation / 403.8 Just-in-Time Transmission / 413.9 Rate Control / 423.10 Service Differentiation / 434 An Overview of Techniques For Cost Reduction 454.1 Introduction / 454.2 Infrastructure Sharing / 474.3 Virtualization / 484.4 Consolidation / 494.5 IT Usage in Networks / 52II Techniques for Mobile Network Operators 555 Bandwidth Optimization and Cost Reduction In the Radio Access Network 575.1 Introduction / 575.2 Upgrading the RAN / 585.3 Leveraging Additional Bandwidth / 655.4 Bandwidth Management / 685.5 Nontechnical Approaches / 726 Bandwidth Optimization and Cost Reduction in Backhaul And Core Networks 756.1 Overview of Backhaul and Core Networks / 756.2 Technology Upgrade / 796.3 Traffic Offload / 806.4 Compression / 806.5 Transformation / 816.6 Caching / 836.7 Consolidation in Core Networks / 876.8 Network Function Virtualization / 886.9 Cost Reduction of the Supporting Infrastructure / 907 Consumer-oriented Data Monetization Services 917.1 Mobile Network Operator Differentiators for Consumer Services / 927.2 Single Sign-on Service / 937.3 Privacy Service / 987.4 Content Customization Services / 1017.5 Location-Based Services / 1037.6 Phone-Based Commerce / 1067.7 Other Services / 1078 Enterprise-oriented Data Monetization Services 1098.1 Model for Mobile Network Operator Services to the Enterprise / 1108.2 Mobile Network Operator Differentiators for Enterprise Services / 1118.3 Caching and Content Distribution / 1148.4 Mobile Transformation / 1158.5 Fog Computing / 1168.6 Location-Based Services / 1188.7 Secure Hypervisor Services / 1209 Application Service Provider-oriented Data Monetization Services 1239.1 Mobile Network Operator Differentiators for Application Service Providers / 1249.2 Caching and Content Distribution / 1269.3 Fog Computing / 1279.4 Information Aggregation / 1299.5 Information Augmentation / 1309.6 Historical Information-Based Planning / 131III Techniques for Enterprises and Application Developers 13510 An Introduction to Mobile Applications 13710.1 Anatomy of Mobile Applications / 13810.2 Types of Mobile Applications / 13910.3 Developing for Multiple Platforms / 14110.4 Operating System Version Management / 14310.5 Limited Resources / 14410.6 General Application Development Considerations / 14511 Power Efficiency for Mobile Applications 14711.1 Model for Power Consumption / 14811.2 Duty Cycling / 15011.3 Power Mode Management / 15111.4 Communication and Computation Clustering / 15111.5 Efficient Resource Usage / 15311.6 Best Practices for Application Power Efficiency / 15412 Bandwidth Efficiency for Mobile Applications 15912.1 Preloading / 16012.2 Communication Clustering / 16012.3 Context-Aware Communication / 16112.4 Disconnected Operation / 16212.5 Caching / 16312.6 Compression / 16312.7 Control Traffic Implications / 16412.8 Best Practices for Bandwidth Efficiency / 16513 Mobile Data Issues for The Enterprise 17113.1 Mobile-Related Issues for the Enterprise / 17213.2 Security Issues / 17313.3 Backward Compatibility / 18013.4 Infrastructure Issues / 18214 Related Topics 18514.1 Machine-to-Machine Communications / 18514.2 Internet of Things / 18614.3 Participatory Sensing / 18714.4 Mobile Transformation of Business / 18814.5 Software-Defined Networks / 18914.6 Mobile First Philosophy / 19014.7 Network Analytics / 19114.8 Conclusions / 192References 193Index 199