Internet Transport Economics

AvRichard T. B. Ma

Inbunden, Engelska, 2022

Del i serien Synthesis Lectures on Learning, Networks, and Algorithms

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Beskrivning

This book presents Internet transport economics as a new approach to understanding the packet-switching paradigm of Internet infrastructure as a global transport system for data packets.

Produktinformation

Utgivningsdatum:2022-11-03
Mått:168 x 240 x 13 mm
Vikt:411 g
Format:Inbunden
Språk:Engelska
Serie:Synthesis Lectures on Learning, Networks, and Algorithms
Antal sidor:118
Förlag:Springer International Publishing AG
ISBN:9783031144202

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Mer om författaren

Richard T. B. Ma received the B.Sc. (Hons.) degree in computer science and M.Phil. degree in computer science and engineering from The Chinese University of Hong Kong in 2002 and 2004, respectively, and the Ph.D. degree in electrical engineering from Columbia University in 2010. During his Ph.D. study, he worked as a Research Intern at IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA, and Telefonica Research, Barcelona, Spain. From 2010–2014, he worked as a Research Scientist at the Advanced Digital Science Center (ADSC), University of Illinois at Urbana–Champaign, Champaign, IL, USA. He is currently an Associate Professor with the School of Computing, National University of Singapore. His current research interests include distributed systems and network economics. He was a recipient of the Best Paper Award Runners-up from the ACM Mobihoc 2020 and a co-recipient of the Best Paper Award from the IEEE IC2E 2013, the IEEE ICNP 2014, and the IEEE Workshop on Smart Data Pricing 2015. He is a Senior Member of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE).

Innehållsförteckning

PART I: Methodological Framework.- 1. Viewpoints to the Internet.- 2. Economics Views of Internet Transport.- 3. Equilibrium Characterization.- 4. Related Works and Future Directions.- PART II: Application Problems.- 5. Model and Equilibrium.- 6. Service Differentiation.- 7. Market Structure.- 8. Data Pricing.- 9. Further Discussions.