|SPECTS 2007||START Conference Manager|
In this paper we present an innovative technique which may outperform the throughput of traditional grid applications by merging job partitioning and job replication.
We utilize ordered statistics analytical models for the performance analysis of desktop-based grid applications. The models describe the effects of resource heterogeneity, serial fraction and synchronization overheads on the application-level performance.
Using the models we show how the proposed policies can be tuned with respect to the size of the grid in order to optimize the grid throughput.
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