This article includes a
list of references,
related reading, or
external links, but its sources remain unclear because it lacks
inline citations. (February 2022) |
This article may be too technical for most readers to understand.(February 2022) |
Meta-scheduling or super scheduling is a computer software technique of optimizing computational workloads by combining an organization's multiple job schedulers into a single aggregated view, allowing batch jobs to be directed to the best location for execution.[ clarification needed]
Meta-scheduling technique is a solution for scheduling a set of dependent or independent faults with different scenarios that are mapping and modeling in an event-tree. It can be used as a dynamic or static scheduling method.
Scenario-based and multi-mode approaches are essential techniques in embedded-systems, e.g., design space exploration for MPSoCs and reconfigurable systems.
Optimization techniques for the generation of schedule graphs supporting such a SBMeS approach have been developed and implemented.
Scenario-based meta-scheduling can promise better performance by reducing dynamic scheduling overhead and recovering from faults.
The following is a partial list of noteworthy[ according to whom?] open source and commercial meta-schedulers currently available.
This article has an unclear
citation style. (February 2022) |
This article includes a
list of references,
related reading, or
external links, but its sources remain unclear because it lacks
inline citations. (February 2022) |
This article may be too technical for most readers to understand.(February 2022) |
Meta-scheduling or super scheduling is a computer software technique of optimizing computational workloads by combining an organization's multiple job schedulers into a single aggregated view, allowing batch jobs to be directed to the best location for execution.[ clarification needed]
Meta-scheduling technique is a solution for scheduling a set of dependent or independent faults with different scenarios that are mapping and modeling in an event-tree. It can be used as a dynamic or static scheduling method.
Scenario-based and multi-mode approaches are essential techniques in embedded-systems, e.g., design space exploration for MPSoCs and reconfigurable systems.
Optimization techniques for the generation of schedule graphs supporting such a SBMeS approach have been developed and implemented.
Scenario-based meta-scheduling can promise better performance by reducing dynamic scheduling overhead and recovering from faults.
The following is a partial list of noteworthy[ according to whom?] open source and commercial meta-schedulers currently available.
This article has an unclear
citation style. (February 2022) |