XtremWeb & Condor : sharing resources between Internet connected Condor pool

O. Lodygensky, G. Fedak, F. Cappello, V. Néri, M. Livny, D. Thain
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引用次数: 54

Abstract

Grid computing presents two major challenges for deploying large scale applications across wide area networks gathering volunteers PC and clusters/parallel computers as computational resources: security and fault tolerance. This paper presents a lightweight Grid solution for the deployment of multi-parameters applications on a set of clusters protected by firewalls. The system uses a hierarchical design based on Condor for managing each cluster locally and XtremWeb for enabling resource sharing among the clusters. We discuss the security and fault tolerance mechanisms used for this design and demonstrate the usefulness of the approach measuring the performances of a multi-parameters bio-chemistry application deployed on two sites: University of Wisconsin/Madison and Paris South University. This experiment shows that we can efficiently and safely harness the computational power of about 200 PC distributed on two geographic sites.
XtremWeb &秃鹰:在互联网连接的秃鹰池之间共享资源
网格计算为在广域网上部署大规模应用程序提出了两个主要挑战:安全性和容错性。广域网将志愿者PC机和集群/并行计算机作为计算资源。本文提出了一种轻量级网格解决方案,用于在一组受防火墙保护的集群上部署多参数应用程序。系统采用基于Condor的分层设计,对每个集群进行本地管理,并使用XtremWeb实现集群间的资源共享。我们讨论了用于此设计的安全性和容错机制,并演示了该方法在两个地点(威斯康星大学/麦迪逊分校和巴黎南大学)部署的多参数生化应用程序的性能测量方法的实用性。实验表明,我们可以高效、安全地利用分布在两个地理站点上的约200台PC机的计算能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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