演员来源捕捉与神经节

Ian Wootten, Shrija Rajbhandari, O. Rana, J. S. Pahwa
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引用次数: 7

摘要

来源通常被定义为导致某种结果的过程的文档,并且长期以来被认为是在网格环境中开发问题解决机制的基础。在许多电子科学实验中,了解一个特定的结果是如何得出的与结果本身同样重要。我们提出了“参与者”来源的概念,它提供了关于参与者在特定时间的状态的详细信息。我们还演示了参与者来源如何不同于参与者之间的“交互”来源。我们描述了如何使用监控工具(如神经节)来表示和记录参与者的来源。使用生物多样性应用程序中的许多用例来解释这一点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Actor Provenance Capture With Ganglia
Provenance is generally defined as the documentation of a process that leads to some result, and has long been recognised as being fundamental to the development of problem solving mechanisms within Grid environments. The knowledge of how a particular result has been derived is just as important as the result itself within many e-Science experiments. We present the concept of "actor" provenance, which provides detailed information concerning the state of an actor at a particular time. We also demonstrate how actor provenance differs from "interaction" provenance between actors. We describe how actor provenance may be represented and recorded using monitoring tools such as ganglia. This is explained using a number of use cases in a Bio-Diversity application.
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