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Cooperative content distribution and traffic engineering
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Applications, Technologies, Architectures, and Protocols for Computer Communication archive
Proceedings of the 3rd international workshop on Economics of networked systems table of contents
Seattle, WA, USA
SESSION: Session 1 table of contents
Pages 7-12  
Year of Publication: 2008
ISBN:978-1-60558-179-8
Authors
Wenjie Jiang  Princeton University, Princeton, NJ, USA
Rui Zhang-Shen  Princeton University, Princeton, NJ, USA
Jennifer Rexford  Princeton University, Princeton, NJ, USA
Mung Chiang  Princeton University, Princeton, NJ, USA
Sponsors
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
Publisher
ACM  New York, NY, USA
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ABSTRACT

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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Wenjie Jiang: colleagues
Rui Zhang-Shen: colleagues
Jennifer Rexford: colleagues
Mung Chiang: colleagues