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.
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