Academics

Lecture by Prof.Richard T.B. Ma (School of Computing at National University of Singapore) Jun. 12

Published:2014-06-06 

The Public Option: A Non-Regulatory Alternative to Network Neutrality

Speaker:Prof.Richard T.B. Ma (School of Computing at National University of Singapore)

Time and Date: 10:00-11:00, Jun. 12, 2014

Place: Room 521, Physics Building, Handan Campus

 

 

Abstract

Network neutrality and the role of regulation on the Internet have been heavily debated in recent times. Among the various definitions of network neutrality, we focus on the one that prohibits paid prioritization of content. We develop a model of the Internet ecosystem in terms of three primary players: consumers, ISPs, and content providers. We analyze this issue from the point of view of the consumer and target the desired system state that maximizes consumer utility. By analyzing various structures of an ISP market, we obtain different conclusions on the desirability of regulation. We also introduce the notion of a Public Option ISP, an ISP that carries traffic in a network-neutral manner. We find: 1) in a monopolistic scenario, network-neutral regulations might benefit consumers, however the introduction of a Public Option ISP is even better as it aligns the interests of the monopolistic ISP with the consumer utility; and 2) in an oligopolistic scenario, the presence of a Public Option ISP is again preferable to network-neutral regulations, although the presence of competing nonneutral ISPs provides the most desirable situation for the consumers.

 

 

Biography

Richard T. B. Ma received the Ph.D. degree in Electrical Engineering in May 2010 from Columbia University. During his Ph.D. study, he worked as a research intern at IBM T.J. Watson Research Center in New York and Telefonica Research in Barcelona. He is currently a Research Scientist in Advanced Digital Science Center, University of Illinois and an Assistant Professor in School of Computing at National University of Singapore. His research interests include distributed systems and network economics.

 

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