TY - GEN
T1 - Cooperative content distribution and traffic engineering
AU - Jiang, Wenjie
AU - Zhang-Shen, Rui
AU - Rexford, Jennifer L.
AU - Chiang, Mung
PY - 2008
Y1 - 2008
N2 - Traditionally, Internet Service Providers (ISPs) make profit by providing Internet connectivity, while content providers (CPs) play the more lucrative role of delivering content to users. As network connectivity is increasingly a commodity, ISPs have a strong incentive to offer content to their subscribers by deploying their own content distribution infrastructure. Providing content services in a provider network presents new opportunities for coordination between server selection (to match servers with subscribers) and traffic engineering (to select efficient routes for the traffic). In this work, we utilize a mathematical framework to show that separating server selection and traffic engineering leads to a sub-optimal equilibrium, even when the CP is given accurate and timely information about network conditions. Leveraging ideas from cooperative game theory, we propose that the system implements a Nash bargaining solution that significantly improves the fairness and efficiency of the joint system. This study is another step toward a systematic understanding of the interactions between those who generate and distribute content and those who provide and operate networks.
AB - Traditionally, Internet Service Providers (ISPs) make profit by providing Internet connectivity, while content providers (CPs) play the more lucrative role of delivering content to users. As network connectivity is increasingly a commodity, ISPs have a strong incentive to offer content to their subscribers by deploying their own content distribution infrastructure. Providing content services in a provider network presents new opportunities for coordination between server selection (to match servers with subscribers) and traffic engineering (to select efficient routes for the traffic). In this work, we utilize a mathematical framework to show that separating server selection and traffic engineering leads to a sub-optimal equilibrium, even when the CP is given accurate and timely information about network conditions. Leveraging ideas from cooperative game theory, we propose that the system implements a Nash bargaining solution that significantly improves the fairness and efficiency of the joint system. This study is another step toward a systematic understanding of the interactions between those who generate and distribute content and those who provide and operate networks.
KW - Content distribution
KW - Interaction
KW - Nash bargaining
KW - Traffic-engineering
UR - http://www.scopus.com/inward/record.url?scp=65249153495&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=65249153495&partnerID=8YFLogxK
U2 - 10.1145/1403027.1403030
DO - 10.1145/1403027.1403030
M3 - Conference contribution
AN - SCOPUS:65249153495
SN - 9781605581798
T3 - SIGCOMM 2008 Conference and the Co-located Workshops - Proceedings of the 3rd International Workshop on Economics of Networked Systems, NetEcon'08
SP - 7
EP - 12
BT - SIGCOMM 2008 Conference and the Co-located Workshops - Proceedings of the 3rd International Workshop on Economics of Networked Systems, NetEcon'08
T2 - SIGCOMM 2008 Conference and the co-located Workshops - 3rd International Workshop on Economics of Networked Systems, NetEcon'08
Y2 - 17 August 2008 through 22 August 2008
ER -