Falkon:一个快速轻量级的任务执行框架

I. Raicu, Yong Zhao, C. Dumitrescu, Ian T Foster, M. Wilde
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引用次数: 380

摘要

为了能够在计算集群上快速执行许多任务,我们开发了Falkon,一个快速轻量级的任务执行框架。Falkon集成了(1)多级调度,将资源获取(例如,通过对批调度程序的请求)与任务调度分离,以及(2)一个精简的调度程序。Falkon集成了多级调度和流线型调度器,提供了任何其他系统无法提供的性能。我们描述了Falkon的架构和实现,并给出了微基准测试和应用程序的性能结果。微基准测试显示,Falkon的吞吐量(487个任务/秒)和可扩展性(在112分钟内处理54,000个执行器和2,000,000个任务)比生产网格中使用的其他系统要好一到两个数量级。与通过单独的调度程序提交执行任务的版本相比,Swift并行编程系统在Falkon下执行的大规模天文和医疗应用程序在端到端运行时间上减少了90%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Falkon: a Fast and Light-weight tasK executiON framework
To enable the rapid execution of many tasks on compute clusters, we have developed Falkon, a Fast and Light-weight tasK executiON framework. Falkon integrates (1) multi-level scheduling to separate resource acquisition (via, e.g., requests to batch schedulers) from task dispatch, and (2) a streamlined dispatcher. Falkon's integration of multi-level scheduling and streamlined dispatchers delivers performance not provided by any other system. We describe Falkon architecture and implementation, and present performance results for both microbenchmarks and applications. Microbenchmarks show that Falkon throughput (487 tasks/sec) and scalability (to 54,000 executors and 2,000,000 tasks processed in just 112 minutes) are one to two orders of magnitude better than other systems used in production Grids. Large-scale astronomy and medical applications executed under Falkon by the Swift parallel programming system achieve up to 90% reduction in end-to-end run time, relative to versions that execute tasks via separate scheduler submissions.
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