IEEE Transactions on Networking (February) by Staff of IEEE/ACM Transactions on Networking

By Staff of IEEE/ACM Transactions on Networking

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The second implementation, described in Section VI, is based on queueing delay as a congestion measure, similar to what is done in TCP Vegas [3]. This allows some degradation of performance in terms of queueing delay and fairness, but has the advantage of requiring no explicit participation from routers. Conclusions are given in Section VII, and some proofs are given in the Appendix. II. PRELIMINARIES itly here (they could be treated as noise in link rates), but will bear their objectives in mind for design.

With probability , and a good user with probability Fig. 8(a) compares the performance of our algorithm (labeled “level- max-min fairness”) with that of the pushback max-min and . We show fairness approach in [13], for the percentage of remaining good user and attacker traffic that passes the router throttles and arrives at the server. Fig. 8(b) and and , (c) show the corresponding results when and , respectively. We plot the average and results over ten independent experimental runs, and show the standard deviation as an error bar around the average.

Degree in optical instruments from the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Beijing, in 1995. He is currently a Professor of telecommunications at Zhejiang University of Technology. He has authored and coauthored over 30 technical papers in various journals. His current research interests are in network security, QoS in WLAN, network management systems, and multimedia communications. IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 13, NO. S. S. S. D. degrees in aeronautics and astronautics from the Massachusetts Institute of Technology, Cambridge, MA, in 1979 and 1983, respectively.

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