A Set Coverage-based Mapping Heuristic for Scheduling Distributed Data-Intensive Applications on Global Grids (2006)
| Venue: | In proceedings of the 7th IEEE/ACM International Conference on Grid Computing(Grid06 |
| Citations: | 8 - 4 self |
BibTeX
@INPROCEEDINGS{Venugopal06aset,
author = {Srikumar Venugopal and Rajkumar Buyya},
title = {A Set Coverage-based Mapping Heuristic for Scheduling Distributed Data-Intensive Applications on Global Grids},
booktitle = {In proceedings of the 7th IEEE/ACM International Conference on Grid Computing(Grid06},
year = {2006},
publisher = {IEEE CS press}
}
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Abstract
Data-intensive Grid applications need access to large datasets that may each be replicated on different resources. Minimizing the overhead of transferring these datasets to the resources where the applications are executed requires that appropriate computational and data resources be selected. In this paper, we introduce a heuristic for the selection of resources based on a solution to the Set Covering Problem (SCP). We then pair this mapping heuristic with the well-known MinMin scheduling algorithm and conduct performance evaluation through extensive simulations.
