|
![]() |
|||
|
||||
OverviewDiscusses 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. Full Product DetailsAuthor: Dinesh Verma (Virginia Polytechnic Institute and State University) , Paridhi VermaPublisher: John Wiley & Sons Inc Imprint: Wiley-IEEE Press Dimensions: Width: 15.80cm , Height: 1.30cm , Length: 23.60cm Weight: 0.295kg ISBN: 9781118290576ISBN 10: 1118290577 Pages: 224 Publication Date: 25 April 2014 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsPREFACE 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 199ReviewsAuthor InformationDINESH 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. Tab Content 6Author Website:Countries AvailableAll regions |