Title :
A Dynamic Quota-Based Peer Selection Strategy in BitTorrent
Author :
Huang, Kun ; Wang, Li´e ; Zhang, Dafang ; Liu, Yongwei
Author_Institution :
Sch. of Comput. & Commun., Hunan Univ., Changsha
Abstract :
BitTorrent employs a static quota-based peer selection strategy to fixedly allocate upload quotas for the tit-for-tat (TFT) choke algorithm and optimistic unchoke (OU) algorithm, which would incur a paradox of supply and demand between upload peers and request peers, where many request peers stay in the starvation state while many upload quotas stay in the idleness state. We propose a dynamic quota-based peer selection strategy, where request peers are classified by the principle of investment return and according to dynamic changed numbers of different request peers an upload peer adaptively allocates upload quotas for the TFT and OU algorithms. Simulation experiment shows that our dynamic quota allocation scheme can eliminate the paradox of supply and demand, increase the resource utility ratio of upload peers, and decrease the file download time, at the cost of uploading more a few file blocks for each upload peer.
Keywords :
peer-to-peer computing; BitTorrent; dynamic quota allocation scheme; dynamic quota-based peer selection strategy; investment return principle; optimistic unchoke algorithm; request peers; tit-for-tat choke algorithm; upload peers; Costs; Grid computing; Inductors; Internet; Investments; Peer to peer computing; Resource management; Supply and demand; Telecommunication traffic; Thin film transistors;
Conference_Titel :
Grid and Cooperative Computing, 2007. GCC 2007. Sixth International Conference on
Conference_Location :
Los Alamitos, CA
Print_ISBN :
0-7695-2871-6