A user level approach to schedule BoT applications on private clouds

This paper presents a user level approach to schedule tasks generated by bag of tasks (BoT) applications on a private cloud. At this level, the scheduler consolidates the load of the tasks in a given number of virtual machines providing the estimated makespan. We present the proposed algorithm as well as a model for BoT applications and a performance assessment in a OpenStack based IaaS infrastructure. The results show that the makespan can be reduced by grouping tasks in coarse units of loads.