Coping with uncertainty in scheduling problems

Abstract

Large-scale distributed systems such as Grids constitute computational environments that are essential to academic and industry needs. However, they present uncertain behaviors due to their scales that increase continually. We propose to revisit traditional scheduling problematics in these environments by considering uncertainty in the models.