Distributed processing of very large datasets with DataCutter

被引：97

作者：

Beynon, MD

Kurc, T

Catalyurek, U

Chang, CL

Sussman, A

Saltz, J ^{[1
]}

机构：

[1] Univ Maryland, Dept Comp Sci, College Pk, MD 20742 USA

[2] Johns Hopkins Med Inst, Dept Pathol, Baltimore, MD 21287 USA

来源：

PARALLEL COMPUTING | 2001年 / 27卷 / 11期

基金：

美国国家科学基金会;

关键词：

multi-dimensional datasets; data analysis; distributed computing; runtime systems; component architectures;

D O I：

10.1016/S0167-8191(01)00099-0

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We describe a framework, called DataCutter, that is designed to provide support for subsetting and processing of datasets in a distributed and heterogeneous environment. We illustrate the use of DataCutter with several data-intensive applications from diverse fields, and present experimental results. (C) 2001 Published by Elsevier Science B.V.

引用

页码：1457 / 1478

页数：22

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