CSR--AES: Creating a Robust Desktop Grid using Peer-to-Peer Services

在最近的几篇论文中，对等计算和网格计算的融合被描述为不可避免的。 对等（P2P）服务在许多领域显示出了提供健壮性、可靠性和分散性的希望，而网格计算在使应用程序能够充分利用互联网上所有机器上的空闲周期方面显示出了巨大的优势。 在这个项目中，我们采用P2P服务，既允许用户（对等体）提交作业在系统中运行，也允许在系统中的任何可用资源上运行其他用户提交的作业。 所有对等点都向一个特定的资源池贡献资源，所有对等点都可以提交使用可用资源执行的作业，跨越机构边界。 使用P2P服务可以提供一个健壮的、可靠的、可扩展的作业提交和执行系统，该系统能够利用一组用户愿意共享的任何计算资源。 我们正在研究分布式算法，用于提交作业并有效地将它们与可用资源匹配。 我们使用P2P技术进行负载平衡和forresilience。 从初步的分析和实验，我们的计划bothscale与系统的大小和对组件故障和peerdepartures/joins是强大的。 这项工作是计算机科学家和天文学家之间的合作努力。我们正在设计，实施和验证的算法使用一组应用程序和相关的工作负载从计算天文学。

The confluence of peer-to-peer and Grid computing has been described asinevitable in several recent papers. Peer-to-peer (P2P) services show thepromise of providing robustness, reliability, and decentralization in manyareas, while Grid computing has shown great benefits for enablingapplications to take advantage of idle cycles available on machines allacross the Internet. In this project we are employing P2P services to bothallow users (peers) to submit jobs to be run in the system and to run jobssubmitted by other users on any resources available in the system. Allpeers contribute resources to an ad-hoc resource pool, and all peers cansubmit jobs that are executed using available resources, acrossinstitutional boundaries. Using P2P services can provide a robust,reliable, scalable job submission and execution system that is able to takeadvantage of any computational resources that a set of users are willing toshare.We focus on the crucial problem of completely distributed and decentralizedjob placement in a Grid environment. We are working on distributedalgorithms for submitting jobs and efficiently matching them to availableresources. We use P2P techniques for both load balancing and forresilience. From preliminary analysis and experiments, our schemes bothscale with system size and are robust against component failures and peerdepartures/joins. The work is a collaborative effort between computerscientists and astronomers. We are designing, implementing, and validatingthe algorithms using a set of applications and associated workloads fromcomputational astronomy.