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A decentralized computational infrastructure for grid-based parallel asynchronous iterative applications

Journal of Grid Computing 2006年第4期4卷 355-372页

作者： Li, Zhen Parashar, Manish The Applied Software Systems Laboratory Department of Electrical and Computer Engineering Rutgers University Piscataway NJ 08854 United States

parallel asynchronous iterative algorithms relax synchronization and communication requirements, and can potentially extend Desktop Grids beyond embarrassingly parallel applications to support a broader class of parallel iterative applications. This paper presents the design and implementation of CometG, a decentralized (peer-to-peer) computational infrastructure that extends Desktop Grid environments to support these applications. CometG provides a decentralized and scalable tuple space, efficient communication and coordination support, and application-level abstractions that can be used to implement Desktop Grid applications based on parallel asynchronous iterative algorithms using the master-worker/BOT paradigm. The deployment and evaluations of CometG and a CometG-based application in a wide-area environment using the PlanetLab [7] test bed, as well as a campus network are presented. © Springer Science + Business Media, Inc. 2006.

关键词： Decentralized (peer-to-peer) tuple space Desktop Grids parallel asynchronous iterative algorithms

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