LPDS (Laboratory of Parallel and Distributed Systems)
The ever growing number of computation-intensive applications calls for utilizing large-scale, potentially interoperable distributed infrastructures. Now-a-days, such distributed systems enable the management of heterogeneous scientific workflows of considerable sizes, where job scheduling and resource management is a crucial issue. In this paper the authors focus on the challenges of scheduling parameter sweep applications, a specific and commonly used type of workflows where ordering of job executions is irrelevant. A parameter sweep has a large set of independent job instances, called a multi-job, submitted for execution in a single step.