Agent-based grid resource management

Abstract

Grid technology and grid computing appear to be potentially the next generation platforms for solving large problems in science and engineering. Grid resource management is a main activity, which largely affects the productivity of the Grid environment. The main problem is how to manage millions of heterogeneous resources that are distributed across multiple organizations and administrative areas. In order to solve this problem and increase the efficiency of the available resources, a method is proposed for scheduling resources in a Grid. The method combines metaheuristics iterative local search forward algorithm for timetable and uses auction for conflicting resources. © 2011 Springer-Verlag.