Many storage systems are shared by multiple clients with different types of workloads and performance targets. To achieve performance targets without over-provisioning, a system ...
Grid computing supports workload execution on computing resources that are shared across a set of collaborative organizations. At the core of workload management for Grid computin...
Abstract. As grid sizes increase, the need for self-organization and dynamic reconfigurations is becoming more and more important, and therefore the convergence of grid computing ...
Clusters are mostly used through Resources Management Systems (RMS) with a static allocation of resources for a bounded amount of time. Those approaches are known to be insufficie...
As desktop computer computational power continues to increases dramatically, it is becoming commonplace to run a combination of deadline-sensitive applications. Despite the prolif...