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Building an Online Computing Service over Volunteer Grid Resources

机译:在志愿者网格资源上构建在线计算服务

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Volunteer computing grids have traditionally been used for massively parallel workloads, such as processing data from large scientific experiments. We argue that the domain of volunteer grids can be extended well beyond this specific niche, by enhancing them with built-in mechanisms for integration with with standard clusters, grids and clouds, to compensate for unexpected fluctuations in resource availability and quality of service. The resulting capabilities for on-demand dynamic expansion of the resource pool, together with sophisticated scheduling mechanisms will turn volunteer grids into a powerful execution platform for on-line interactive computing services. We will show our experience with the GridBoT system, which implements these ideas. GridBoT is part of a production high performance online service for genetic linkage analysis, called Super link-online. The system enables anyone with the Internet access to submit genetic data, and easily and quickly analyze it as if using a supercomputer. The analyses are automatically parallelized and executed via GridBoT on over 45,000 non-dedicated machines from the Superlink@Technion volunteer grid, as well as on 9 other grids and clouds, including the Aamazon EC2. Since 2009 the system has served more than 300 geneticists from leading research institutions worldwide, and executed over 6500 different real analysis runs, with about 10 million tasks consumed over 420 CPU years.
机译:传统上,志愿者计算网格已用于大规模并行工作负载,例如处理来自大型科​​学实验的数据。我们认为,通过使用与标准集群,网格和云集成的内置机制来增强志愿网格的功能,可以将志愿网格的范围扩展到远远超出此特定领域,以补偿资源可用性和服务质量的意外波动。由此产生的按需动态扩展资源池的功能,再加上复杂的调度机制,将使志愿网格成为在线交互式计算服务的强大执行平台。我们将展示我们在GridBoT系统上的经验,该系统实现了这些想法。 GridBoT是用于遗传连锁分析的生产高性能在线服务(称为Super link-online)的一部分。该系统使任何能够访问Internet的人都可以提交遗传数据,并像使用超级计算机一样轻松,快速地对其进行分析。这些分析通过GridBoT自动并行化,并在Superlink @ Technion志愿者网格的45,000多台非专用计算机上以及在其他9个网格和云(包括Aamazon EC2)上进行执行。自2009年以来,该系统已为全球领先研究机构的300多位遗传学家提供服务,并执行了6500多次不同的实际分析运行,在420个CPU年中消耗了大约1000万个任务。

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