活动数据:支持网格数据生命周期

Tim Ho, D. Abramson
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引用次数: 4

摘要

科学应用通常涉及计算密集型工作流程,并可能产生大量派生数据。在本文中,我们考虑了一个生命周期,它从数据第一次生成时开始,并通过复制、分发、删除和可能的重新计算来跟踪其进程。我们描述了一种称为活动数据的基础设施的设计和实现,它结合了现有的网格中间件,在平台中立的环境中支持科学数据的生命周期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active Data: Supporting the Grid Data Life Cycle
Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the data is first generated, and tracks its progress through replication, distribution, deletion and possible re-computation. We describe the design and implementation of an infrastructure, called active data, which combines existing grid middleware to support the scientific data lifecycle in a platform-neutral environment.
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