Publication details
Complex Job Scheduling Simulations with Alea 4
| Authors | |
|---|---|
| Year of publication | 2016 |
| Type | Article in Proceedings |
| Conference | Proceedings of the 9th EAI International Conference on Simulation Tools and Techniques (SimuTools) |
| MU Faculty or unit | |
| Citation | |
| Web | fulltext v ACM DL |
| Doi | http://dx.doi.org/10.5555/3021426.3021446 |
| Field | Informatics |
| Keywords | Alea; simulation; job scheduling; workload adaptation |
| Description | Simulations have been used for many years in order to either develop, refine or validate new setups of production resource managers, that are used in large computing systems such as HPC clusters, computing grids or clouds. Typically, new job scheduling algorithms or various resource-related policies are first evaluated in a simulator prior to their deployment. To facilitate this, accurate models of both the applied resource manager and the workload being processed are very important to obtain reliable simulation outputs. In this paper we present a new major release of the Alea simulator, that has been developed in order to allow for such detailed and realistic simulations. The simulator allows for detailed emulation of typical scheduling systems that are widely used in nowadays computing centers. Furthermore, it also provides novel approach to properly model dynamic user-to-system interactions. We also present recent real-life based examples where the Alea simulator has been used to improve the performance of an actual computing system, demonstrating its practical capabilities and usefulness. |