在网格中执行多个流水线数据分析操作

ACM/IEEE SC 2002 Conference (SC'02) Pub Date : 2002-11-16 DOI:10.1109/SC.2002.10015

M. Spencer, R. Ferreira, M. Beynon, T. Kurç, Ümit V. Çatalyürek, A. Sussman, J. Saltz

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引用次数: 57

摘要

在许多数据分析应用程序中，数据处理可以表示为从数据源到客户端的无循环、粗粒度数据流。本文研究了多个数据分析操作的调度问题，每个数据分析操作都被表示为数据处理的流水线链。定义了有效地将组件放置到网格资源上的调度问题，并提出了两种调度算法。实验结果用可视化软件给出。

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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Executing Multiple Pipelined Data Analysis Operations in the Grid

Processing of data in many data analysis applications can be represented as an acyclic, coarse grain data flow, from data sources to the client. This paper is concerned with scheduling of multiple data analysis operations, each of which is represented as a pipelined chain of processing on data. We define the scheduling problem for effectively placing components onto Grid resources, and propose two scheduling algorithms. Experimental results are presented using a visualization application.

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ACM/IEEE SC 2002 Conference (SC'02)

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