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.
• Sorkhpour, Babak, and Roman Obermaisser. "MeSViz: Visualizing Scenario-based Meta-Schedules for Adaptive Time-Triggered Systems."
• B. Sorkhpour, R. Obermaisser and A. Murshed, "Meta-Scheduling Techniques for Energy-Efficient, Robust and Adaptive Time-Triggered Systems," in Knowledge-Based Engineering and Innovation (KBEI), 2017 IEEE 4th International Conference on, Tehran, 2017.

External links

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