A game theoretic framework for bandwidth allocation and pricing in broadband networks
IEEE/ACM Transactions on Networking (TON)
Internet pricing with a game theoretical approach: concepts and examples
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
The utility business model and the future of computing services
IBM Systems Journal
Optimizing cost and performance for multihoming
Proceedings of the 2004 conference on Applications, technologies, architectures, and protocols for computer communications
Bandwidth provisioning and pricing for networks with multiple classes of service
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Internet economics: Pricing and policies
A mathematical model of the Paris metro pricing scheme for charging packet networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Internet economics: Pricing and policies
Pricing and admission control for QoS-enabled internet
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Internet economics: Pricing and policies
Comparing economic incentives in peer-to-peer networks
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Internet economics: Pricing and policies
Pricing Communication Networks: Economics, Technology and Modelling (Wiley Interscience Series in Systems and Optimization)
Computing as Utility: Managing Availability, Commitment, and Pricing Through Contingent Bid Auctions
Journal of Management Information Systems
IEEE Journal on Selected Areas in Communications
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With the emerging concept of utility computing, appropriate business models are becoming more and more important for the Internet services. Internet Service Providers (ISP) measure IP network usage for billing in different ways. Percentile-based pricing policy is one of the common billing methods. Percentile-based measurement allows the ISP to bill the customer for the maximum bandwidth used during the billing period while forgiving a small amount of bandwidth spiking. In this paper, we investigate how a customer can regulate the traffic volume under the constraint of a predetermined budget such that the amount of band-width spiking is within the range that the ISP can tolerate. Optimal solutions are presented for the offline case where the traffic demands in each small period are given. A traffic scheduling algorithm is given for the online case where the traffic demands in each small period are unknown in advance. Computations are conducted to illustrate the effectiveness of our solutions.