Del 0 - IEEE Series on Digital & Mobile Communication

Techniques for Surviving the Mobile Data Explosion

Häftad, Engelska, 2014

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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 acronymsEasy-to-understand figures as well as a comprehensive set of referencesA cross-disciplinary approach spanning the areas of cellular networks, IP networks, and mobile applicationsTechniques for Surviving the Mobile Data Explosion is ideal for wireless application developers and mobile network operators.

Produktinformation

Utgivningsdatum2014-04-25
Mått158 x 236 x 13 mm
Vikt295 g
FormatHäftad
SpråkEngelska
SerieIEEE Series on Digital & Mobile Communication
Antal sidor224
FörlagJohn Wiley & Sons Inc
ISBN9781118290576

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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 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