Evolutionary Fuzzy Scheduler for Grid Computing

In the last few years, the Grid community has been growing very rapidly and many new components have been proposed. In this sense, the scheduler represents a very relevant element that influences decisively on the grid system performance. The scheduling task of a set of heterogeneous, dynamically changing resources is a complex problem. Several scheduling systems have already been implemented; however, they still provide only "ad hoc" solutions to manage scheduling resources in a grid system. This paper presents a fuzzy scheduler obtained by means of evolving a previous fuzzy scheduler using Pittsburgh approach. This new evolutionary fuzzy scheduler improves the performance of the classical scheduling system.