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Informationen zum Autor 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. Klappentext 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. Zusammenfassung This book provides an overview of technologies to maximize the quality of user experience for mobile, data-centric applications. Inhaltsverzeichnis 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 Virtua...
