Data Staging Effects in Wide Area Task Farming Applications (2001)
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| Venue: | IEEE International Symposium on Cluster Computing and the grid |
| Citations: | 11 - 1 self |
BibTeX
@INPROCEEDINGS{Elwasif01datastaging,
author = {Wael R. Elwasif and Wael R. Elwasif and James S. Plank and James S. Plank and Rich Wolski and Rich Wolski},
title = {Data Staging Effects in Wide Area Task Farming Applications},
booktitle = {IEEE International Symposium on Cluster Computing and the grid},
year = {2001},
pages = {122--129}
}
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Abstract
Recent advances in computing and communication have given rise to the computational grid notion. The core of this computing paradigm is the design of a system for drawing compute power from a confederation of geographically dispersed heterogeneous resources, seamlessly and ubiquitously. If high-performance levels are to be achieved, data locality must be identified and managed. In this paper, we consider the affect of server side staging on the behavior of a class of wide area “task farming ” applications. We show that staging improves task throughput mainly through the increased parallelism rather than the reduction in overall turnaround time per task. We derive a model for farming applications with and without server side staging and verify the model through live experiments as well as simulations. 1.
