We develop real-time scheduling techniques for improving performance and energy for multiprogrammed workloads that scale nonuniformly with increasing thread counts. Multithreaded ...
Typical computational grid users target only a single cluster and have to estimate the runtime of their jobs. Job schedulers prefer short-running jobs to maintain a high system ut...
Michael Klemm, Matthias Bezold, Stefan Gabriel, Ro...
— A key advantage of Infrastructure-as-a-Service (IaaS) clouds is providing users on-demand access to resources. However, to provide on-demand access, cloud providers must either...
Users of distributed systems such as the TeraGrid and Open Science Grid can execute their applications on many different systems. We wish to help such users, or the grid scheduler...
Grid enabled physics analysis requires a Workload Management System (WMS) that takes care of finding suitable computing resources to execute data intensive jobs. A typical exampl...