Adaptive Computing on the Grid Using AppLeS (2003)
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@MISC{Berman03adaptivecomputing,
author = {Francine Berman and Richard Wolski and Henri Casanova and Walfredo Cirne and Holly Dail and Marcio Faerman and Silvia Figueira and Jim Hayes and Graziano Obertelli and Jennifer Schopf and Gary Shao and Shava Smallen and Neil Spring and Alan Su},
title = {Adaptive Computing on the Grid Using AppLeS},
year = {2003}
}
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Abstract
Ensembles of distributed, heterogeneous resources, also known as Computational Grids are emerging as critical platforms for high-performance and resource-intensive applications. Such platforms provide the potential for applications to aggregate enormous bandwidth, computational power, memory, secondary storage, and other resources during a single execution. However, achieving this performance potential in dynamic, heterogeneous environments is challenging. Recent experience with distributed applications indicates that adaptivity is fundamental to achieving application performance in dynamic Grid environments. The AppLeS (Application Level Scheduling) project provides a methodology, application software, and software environments for adaptively scheduling and deploying applications in dynamic, heterogeneous, multi-user Grid environments. In this paper, we discuss the AppLeS project and outline our results.
