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
收藏
页码：7 / +
页数：2
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