创建个人自适应集群,用于管理分布式计算环境中的科学作业

E. Walker, J. Gardner, V. Litvin, Evan L. Turner
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引用次数: 78

摘要

我们描述了一个用于在用户空间中创建个人集群的系统,以支持向NSF TeraGrid上的网络连接的计算资源提交和管理数千个计算密集型串行作业。该系统实现了一个健壮的基础设施,可以跨分布式计算环境提交和管理作业代理。这些作业代理为按需为用户动态创建的个人集群提供资源。系统通过将作业代理迁移到预期能够更快地提供资源的站点来适应分布式站点上当前的作业负载条件。本文描述的系统版本允许用户在TeraGrid上构建大型个人Condor和Sun Grid Engine集群。然后,用户可以使用这些作业管理环境中功能丰富的功能,通过一个统一的界面提交、监视和控制他们的科学作业。迄今为止,通过该系统提交的用户作业多达10万份,实现了每秒900万亿次的科学计算
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creating personal adaptive clusters for managing scientific jobs in a distributed computing environment
We describe a system for creating personal clusters in user-space to support the submission and management of thousands of compute-intensive serial jobs to the network-connected compute resources on the NSF TeraGrid. The system implements a robust infrastructure that submits and manages job proxies across a distributed computing environment. These job proxies contribute resources to personal clusters created dynamically for a user on-demand. The system adapts to the prevailing job load conditions at the distributed sites by migrating job proxies to sites expected to provide resources more quickly. The version of the system described in this paper allows users to build large personal Condor and Sun Grid Engine clusters on the TeraGrid. Users can then submit, monitor and control their scientific jobs with a single uniform interface, using the feature-rich functionality found in these job management environments. Up to 100,000 user jobs have been submitted through the system to date, enabling approximately 900 teraflops of scientific computation
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