Managing jobs with an interpreted language for dynamic adaptation

Anolan Milanés, N. Rodriguez, B. Schulze
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引用次数: 3

Abstract

In this paper we explore the advantages of using interpreted languages for building submitting engines for the grid. In particular, we discuss an example engine, developed using ALua, for submitting jobs in a cluster, which can be extended to a grid environment. We claim that the flexibility offered by interpreted languages justifies the problems related to the intrinsic loss of efficiency associated with this kind of languages. The focus of this work is on adaptation and ease of use.
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使用解释性语言管理作业,以便进行动态调整
在本文中,我们探讨了使用解释性语言为网格构建提交引擎的优势。我们特别讨论了一个使用ALua开发的示例引擎,用于在集群中提交作业,该引擎可以扩展到网格环境。我们认为,解释性语言提供的灵活性证明了与这种语言相关的内在效率损失相关的问题是合理的。这项工作的重点是适应性和易用性。
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