Meta-scheduling

Meta-scheduling or Super scheduling is a computer software technique of optimizing computational workloads by combining an organization's multiple Distributed Resource Managers into a single aggregated view, allowing batch jobs to be directed to the best location for execution.

Implementations

The following is a partial list of noteworthy open source and commercial meta-schedulers currently available.

• GridWay by the Globus Alliance
• Community Scheduler Framework by Platform Computing & Jilin University
• MP Synergy by United Devices
• Moab Cluster Suite and Maui Cluster scheduler from Adaptive Computing
• DIOGENES (DIstributed Optimal GENEtic algorithm for grid applications Scheduling, started project)
• SynfiniWay's meta-scheduler.
• MeS is designed to generate schedules for anticipated changes of scenarios by Babak Sorkhpour & Prof. Dr.-Ing.Roman Obermaisser in Chair for Embedded Systems in university of Siegen for Energy-Efficient, Robust and Adaptive Time-Triggered Systems (multi-core architectures with Networks-on-chip (NoC))  .

References

• Schopf, Jennifer (2002). "A General Architecture for Scheduling on the Grid" (PDF). Argonne National Laboratory. Archived from the original (pdf) on 2008-09-24. {{cite web}}: Unknown parameter |deadurl= ignored (|url-status= suggested) (help)

External links

• Super Scheduler project by the Asia-Pacific Science Technology Center.
• Meta-Scheduling Techniques for Energy-Efficient by Babak sorkhpour.