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IPPS
2008
IEEE

A modeling approach for estimating execution time of long-running scientific applications

14 years 24 days ago
A modeling approach for estimating execution time of long-running scientific applications
In a Grid computing environment, resources are shared among a large number of applications. Brokers and schedulers find matching resources and schedule the execution of the applications by monitoring dynamic resource availability and employing policies such as firstcome-first-served and back-filling. To support applications with timeliness requirements in such an environment, brokering and scheduling algorithms must address an additional problem - they must be able to estimate the execution time of the application on the currently available resources. In this paper, we present a modeling approach to estimating the execution time of long-running scientific applications. The modeling approach we propose is generic; models can be constructed by merely observing the application execution “externally” without using intrusive techniques such as code inspection or instrumentation. The model is cross-platform; it enables prediction without the need for the application to be profiled first...
Seyed Masoud Sadjadi, Shu Shimizu, Javier Figueroa
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where IPPS
Authors Seyed Masoud Sadjadi, Shu Shimizu, Javier Figueroa, Raju Rangaswami, Javier Delgado, Hector A. Duran, Xabriel J. Collazo-Mojica
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