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On cooperative settlement between content, transit and eyeball internet service providers
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Source International Conference On Emerging Networking Experiments And Technologies archive
Proceedings of the 2008 ACM CoNEXT Conference table of contents
Madrid, Spain
Article No. 7  
Year of Publication: 2008
ISBN:978-1-60558-210-8
Authors
Richard T. B. Ma  Columbia University
Dah-ming Chiu  The Chinese University of HK
John C. S. Lui  The Chinese University of HK
Vishal Misra  Columbia University
Dan Rubenstein  Columbia University
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

Internet service providers (ISPs) depend on one another to provide global network services. However, the profit-seeking nature of the ISPs leads to selfish behaviors that result in inefficiencies and disputes in the network. This concern is at the heart of the "network neutrality" debate, which also asks for an appropriate compensation structure that satisfies all types of ISPs. Our previous work showed in a general network model that the Shapley value has several desirable properties, and that if applied as the revenue model, selfish ISPs would yield globally optimal routing and interconnecting decisions.

In this paper, we use a more detailed and realistic network model with three classes of ISPs: content, transit, and eyeball. This additional detail enables us to delve much deeper into the implications of a Shapley settlement mechanism. We derive closed-form Shapley values for more structured ISP topologies and develop a dynamic programming procedure to compute the Shapley revenues under more diverse Internet topologies. We also identify the implications on the bilateral compensation between ISPs and the pricing structures for differentiated services. In practice, these results provide guidelines for solving disputes between ISPs and for establishing regulatory protocols for differentiated services and the industry.


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:
Richard T. B. Ma: colleagues
Dah-ming Chiu: colleagues
John C. S. Lui: colleagues
Vishal Misra: colleagues
Dan Rubenstein: colleagues