Robust scheduler for grid networks
Daniel Macêdo Batista, André C. Drummond, Nelson L. S. da Fonseca · 2009
Imprecise input data imposes additional challenges to grid scheduling. This paper introduces a novel scheduler based on fuzzy optimization called IP-FULL-FUZZY which considers uncertainties of both application demands and of resource availability. The effectiveness of the proposed scheduler is compared to those of a non-fuzzy scheduler as well as to those of a fuzzy scheduler which considers only uncertainties of application demands. Results evince the advantages of adopting the proposed scheduler.