Workflow resiliency for large-scale distributed applications

被引：5

作者：

Toan Nguyen ^{[1
]}

Desideri, Jean-Antoine ^{[1
]}

Selmin, Vittorio ^{[2
]}

机构：

[1] INRIA, Ctr Rech Grenoble Rhone Alpes, FR-38334 Saint Ismier, France

[2] Alenia Aeronaut, I-10146 Turin, Italy

来源：

2009 THIRD INTERNATIONAL CONFERENCE ON ADVANCED ENGINEERING COMPUTING AND APPLICATIONS IN SCIENCES (ADVCOMP 2009) | 2009年

关键词：

workflows; resiliency; distributed computing; parallel computing; large-scale applications;

D O I：

10.1109/ADVCOMP.2009.9

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Large-scale simulation and optimization are demanding applications that require high-performance computing platforms. Because their economic impact is fundamental to the industry, they also require robust, seamless and effective mechanisms to support dynamic user interactions, as well as fault-tolerance and resiliency on parallel computing platforms. Distributed workflows are considered here as a means to support large-scale dynamic and resilient multiphysics simulation and optimization applications, such as multiphysics aircraft simulation.

引用

页码：7 / +

页数：2

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