Federated Computing for the Masses-Aggregating Resources to Tackle Large-Scale Engineering Problems

被引：9

作者：

Diaz-Montes, Javier ^{[1
]}

Xie, Yu ^{[2
]}

Rodero, Ivan ^{[1
]}

Zola, Jaroslaw ^{[1
]}

Ganapathysubramanian, Baskar ^{[3
]}

Parashar, Manish ^{[4
]}

机构：

[1] Rutgers State Univ, Piscataway, NJ 08855 USA

[2] Iowa State Univ, Dept Mech Engn, Ames, IA USA

[3] Iowa State Univ, Ames, IA USA

[4] Rutgers State Univ, Dept Comp Sci, Piscataway, NJ 08855 USA

来源：

COMPUTING IN SCIENCE & ENGINEERING | 2014年 / 16卷 / 04期

基金：

美国国家科学基金会;

关键词：

Cloud computing; Federated computing; Fluid flow; Large-scale engineering problems; Scientific computing; Software-defined infrastructure;

D O I：

10.1109/MCSE.2013.134

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An exploration of the use of aggregated high-performance computing resources to solve large-scale engineering problems shows that it's possible to build a computational federation that's easy for users to implement, and is elastic, resilient, and scalable. The fusion of federated computing and real-life engineering problems is brought to the average user by providing relevant middleware.

引用

页码：62 / 72

页数：11

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