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Title:High-fidelity simulation of load balancing methods in Tor
Author(s):Cheng, Chin-Yu
Advisor(s):Borisov, Nikita
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):Distributed systems, Tor, networking, load balancing
Abstract:We evaluate the effectiveness of two novel performance improving algorithms for Tor using the Shadow simulation framework. The first is Tightrope, a path selection algorithm for improving the load balancing of Tor circuits across the Tor network. The second is using the maximum likelihood estimation (MLE) scheme to accurately estimate the true capacity of relay capacities with minimal prior knowledge. For both algorithms, we presented the technical implementation details and the experiment setup. In Tightrope's simulation results, we found that the new path selection method is effective in improving the overall throughput of the network. In MLE's simulation results, we verified its estimation accuracy under different settings.
Issue Date:2020-05-14
Type:Thesis
URI:http://hdl.handle.net/2142/108201
Rights Information:Copyright 2020 Chin-Yu Cheng
Date Available in IDEALS:2020-08-26
Date Deposited:2020-05


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