Scheduling Compute Intensive Applications in Volatile, Shared Resource (Grid) Environments

Abstract While Grid computing has become popular in recent years, understanding Grid application performance remains a challenge. In open, shared resource Grid environments, applications face heterogeneity in resources and dynamic load on the resources. Variance in runtime prediction models leads to further variability in application performance. We investigate factors affecting application performance by extensive simulation using actual compute intensive applications runtimes and actual dynamic resource load. Poster Contributors Richard Huang, Henri Casanova, Andrew Chien Poster Presented by Richard Huang

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