In this report we demonstrate the potential utility of resource allocation management systems that use virtual machine technology for sharing parallel computing resources among competing jobs. We formalize the resource allocation problem with a number of underlying assumptions, determine its complexity, propose several heuristic algorithms to find near-optimal solutions, and evaluate these algorithms in simulation. We find that among our algorithms one is very efficient and also leads to the best resource allocations. We then describe how our approach can be made more general by removing several of the underlying assumptions.
@article{arxiv.1006.5376,
title = {Resource Allocation using Virtual Clusters},
author = {Mark Stillwell and David Schanzenbach and Frédéric Vivien and Henri Casanova},
journal= {arXiv preprint arXiv:1006.5376},
year = {2010}
}
Comments
University of Hawai'i at M{\=a}noa Department of Information and Computer Sciences Technical Report