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Collaborative Data Distribution with BitTorrent for Computational Desktop Grids

机译:用于计算台式网格的BitTorrent的协作数据分布

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Data-centric applications are still a challenging issue for Large Scale Distributed Computing Systems. The emergence of new protocols and softwares for collaborative content distribution over Internet offers a new opportunity for efficient and fast delivery of high volume of data. This paper presents an evaluation of the BitTorrent protocol for Computational Desktop Grids. We first present a prototype of a generic subsystem dedicated to data management and designed to serve as a building block for any Desktop Grid System. Based on this prototype we conduct experimentations to evaluate the potential of BitTorrent compared to a classical approach based on FTP data server. The preliminary results obtained with a 65-nodes cluster measure the basic characteristics of BitTorrent in terms of latency and bandwidth and evaluate the scalability of BitTorrent for the delivery of large input files. Moreover, we show that BitTorrent has a considerable latency overhead compared to FTP but clearly outperforms FTP when distributing large files or files to a high number of nodes. Tests on a synthetic application show that Bit-Torrent significantly increases the communication/computation ratio of the applications eligible to run on a Desktop Grid System.
机译:以数据为中心的应用仍然是大型分布式计算系统的具有挑战性的问题。互联网协作内容分发的新协议和软件的出现提供了高效和快速交付大量数据的新机会。本文介绍了计算桌面网格的BitTorrent协议的评估。我们首先提出了一种专用于数据管理的通用子系统的原型,并设计为任何桌面网格系统的构建块。基于该原型,我们对基于基于基于FTP数据服务器的经典方法相比评估BitTorrent的潜力。使用65节点集群获得的初步结果测量延迟和带宽方面BitTorrent的基本特征,并评估BitTorrent的可扩展性以传递大输入文件。此外,与FTP相比,BitTorrent具有相当大的延迟开销,而是在将大型文件或文件分发到大量节点时明显优于FTP。对合成应用的测试表明,位Torrent显着提高了符合桌面网格系统上运行的应用程序的通信/计算率。

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