Comparative study of two congestion pricing schemes: auction and tâtonnement
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Internet economics: Pricing and policies
Addressing Sporadic Contention on Shared Computing Clusters
HPCASIA '05 Proceedings of the Eighth International Conference on High-Performance Computing in Asia-Pacific Region
Pricing network resources for adaptive applications
IEEE/ACM Transactions on Networking (TON)
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Network applications require a certain level of network performance for their proper operation. These individual guarantees can be provided if sufficient amounts of network resources are available; however, contention for the limited network resources may occur. For this reason, networks use flow control to manage network resources fairly and efficiently. This paper presents a distributed microeconomic flow control technique, that models the network as competitive markets. In these markets switches price their link bandwidth based on supply and demand, and users purchase bandwidth so as to maximize their individual Quality of Service (QoS). This decentralized flow control method provides a Pareto optimal and equitable (QoS-fair) bandwidth distribution. Simulation results using actual MPEG-compressed video traffic show utilization over 95% and better QoS control than max-min.