Evaluation of Effect of Seeds and Downloaders on the Performance of BitTorrent Network using Markov Chain Modeling

Abstract

In this paper, we are using existing Markov chain model to study the effect of count of seeds and downloaders on transition rates, which is an important parameter in Markov chain modeling. As of now, many analytical modeling techniques are used to evaluate the performance of BitTorrent network and Markov chain model is found to be an effective, accurate and extendible one. Many researchers have studied BitTorrent networks to evaluate the distinct performance metrics using Markov chain modeling technique. Here Matlab environment is used to analyze the change in transition rates as the count of seeds and downloaders in the system varies. Also two chunk model is extended to three chunk model and observe the same behavior as of two chunk model’s transition rate due to change in seed’s count.

Cite this Article

Rupesh Chandrakant Jaiswal, Shailesh Mitkari, Shashikant Lokhande. Evaluation of Effect of Seeds and Downloaders on the Performance of BitTorrent Network using Markov Chain Modeling. Journal of Communication Engineering & Systems. 2016; 6(1): 30–37p.