We introduce an optimization algorithm for resource allocation in the LIPI Public Cluster to optimize its usage according to incoming requests from users. The tool is an extended and modified genetic algorithm developed to match specific natures of public cluster. We present a detail analysis of optimization, and compare the results with the exact calculation. We show that it would be very useful and could realize an automatic decision making system for public clusters.
@article{arxiv.0708.0608,
title = {Resource Allocation in Public Cluster with Extended Optimization Algorithm},
author = {Z. Akbar and L. T. Handoko},
journal= {arXiv preprint arXiv:0708.0608},
year = {2007}
}
Comments
4 pages, Proceeding of the International Conference on Instrumentation, Communication and Information Technology 2007