Parallel Downloading Algorithm for Large-volume File Distribution

Authors:
Haitao Chen;Zhenghu Gong;Zunguo Huang
Affiliations:
National University of Defense Technology;National University of Defense Technology;National University of Defense Technology
Venue:
PDCAT '05 Proceedings of the Sixth International Conference on Parallel and Distributed Computing Applications and Technologies
Year:
2005

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Cited 2

A multiple parallel download scheme with server throughput and client bandwidth considerations for data grids

Future Generation Computer Systems
Interest-Intended Piece Selection in BitTorrent-like peer-to-peer file sharing systems

Journal of Parallel and Distributed Computing

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Abstract

BitTorrent is a popular, open-source content distribution system that is conducive for distribution of large-volume files. In this paper, we first model the parallel downloading problem as directed graph and discuss possible improving directions. Then a smart connection management algorithm is proposed, which introduces the notion of content group and sub-tracker, and decentralizes the decision process performed at the tracker for transfer coordination. Simulations show that by increasing content availability to the clients from their immediate neighbors, it can significantly improve the efficiency of distribution.