Optimization of overlay distributed computing systems for multiple classifier system—heuristic approach

Recently, the volume of data produced in academia and industry has grown drastically. Distributed computing systems including Grids make use of computer networks (e.g. Internet) to share various computing resources around the world in order to improve the processing. Due to large data volumes being transferred between geographically spread computing nodes, network aspects of the computing systems have become significant. In this article, we introduce a model of an overlay distributed computing system, which could be used by for multiple classifier systems. We formulate an Integer Programming optimization problem with the objective to minimize the OPEX cost including processing and data transfer. Next, an effective heuristic algorithm based on the Greedy Randomized Adaptive Search Procedure (GRASP) approach is developed and examined.