Smart Data Pricing (Information and Communication Technology Series) 1st Edition

A comprehensive text addressing the high demand for network, cloud, and content services through cutting-edge research on data pricing and business strategies

Smart Data Pricing tackles the timely issue of surging demand for network, cloud, and content services and corresponding innovations in pricing these services to benefit consumers, operators, and content providers. The pricing of data traffic and other services is central to the core challenges of network monetization, growth sustainability, and bridging the digital divide. In this book, experts from both academia and industry discuss all aspects of smart data pricing research and development, including economic analyses, system development, user behavior evaluation, and business strategies. Smart Data Pricing:

• Presents the analysis of leading researchers from industry and academia surrounding the pricing of network services and content.
• Discusses current trends in mobile and wired data usage and their economic implications for content providers, network operators, end users, government regulators, and other players in the Internet ecosystem.
• Includes new concepts and background technical knowledge that will help researchers and managers effectively monetize their networks and improve user quality-of-experience.
• Provides cutting-edge research on business strategies and initiatives through a diverse collection of perspectives.
• Combines academic and industry expertise from multiple disciplines and business organizations.

The ideas and background of the technologies and economic principles discussed within these chapters are of real value to practitioners, researchers, and managers in identifying trends and deploying new pricing and network management technologies, and will help support managers in identifying new business directions and innovating solutions to challenging business problems.

A comprehensive text addressing the high demand for network, cloud, and content services through cutting-edge research on data pricing and business strategies

Smart Data Pricing tackles the timely issue of surging demand for network, cloud, and content services and corresponding innovations in pricing these services to benefit consumers, operators, and content providers. The pricing of data traffic and other services is central to the core challenges of network monetization, growth sustainability, and bridging the digital divide. In this book, experts from both academia and industry discuss all aspects of smart data pricing research and development, including economic analyses, system development, user behavior evaluation, and business strategies. Smart Data Pricing:

• Presents the analysis of leading researchers from industry and academia surrounding the pricing of network services and content.
• Discusses current trends in mobile and wired data usage and their economic implications for content providers, network operators, end users, government regulators, and other players in the Internet ecosystem.
• Includes new concepts and background technical knowledge that will help researchers and managers effectively monetize their networks and improve user quality-of-experience.
• Provides cutting-edge research on business strategies and initiatives through a diverse collection of perspectives.
• Combines academic and industry expertise from multiple disciplines and business organizations.

The ideas and background of the technologies and economic principles discussed within these chapters are of real value to practitioners, researchers, and managers in identifying trends and deploying new pricing and network management technologies, and will help support managers in identifying new business directions and innovating solutions to challenging business problems.

SOUMYA SEN is an Assistant Professor of Information & Decision Sciences at the Carlson School of Management of the University of Minnesota. He is a co-founder of the Smart Data Pricing Forum and a startup called DataMi. His interdisciplinary research on the economics of network systems has been published by the IEEE, ACM, and AIS. He received his MS and PhD in Electrical & Systems Engineering from the University of Pennsylvania and did his postdoctoral research at Princeton University.

CARLEE JOE-WONG is a PhD candidate at Princeton University's Program in Applied and Computational Mathematics. She co-founded DataMi, a start-up company commercializing smart data pricing, in 2012. She received her AB in Mathematics in 2011 and her MA in Applied and Computational Mathematics in 2013, both from Princeton University.

SANGTAE HA is an Assistant Professor in the Department of Computer Science at the University of Colorado at Boulder with a joint appointment in the Interdisciplinary Telecommunications Program. He co-founded DataMi in 2012 as the founding CTO. Prior to this, he was an Associate Research Scholar in the Department of Electrical Engineering at Princeton University from 2009 to 2013. He received his PhD in Computer Science from North Carolina State University in 2009.

MUNG CHIANG is the Arthur LeGrand Doty Professor of Electrical Engineering at Princeton University, the Director of the Keller Center for Innovations in Engineering Education, and the Chair of Princeton Entrepreneurship Advisory Committee. He is the recipient of the 2013 Alan T. Waterman Award.