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TWO CONP-COMPLETE SCHEDULE ANALYSIS PROBLEMS
While many forms of schedule decision problems are known to be NP-complete, two forms of schedule analysis problems are shown to be coNP-complete in the strong sense. Each of these involve guaranteeing that all deadlines are met for a set of task-graphs in statically-mapped, priority-based, multipro...
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Published in: | International journal of foundations of computer science 2001-10, Vol.12 (5), p.565-580 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | While many forms of schedule decision problems are known
to be NP-complete, two forms of schedule analysis
problems are shown to be coNP-complete in the strong sense.
Each of these involve guaranteeing that all deadlines are met for a
set of task-graphs in statically-mapped,
priority-based, multiprocessor schedules given particular
variabilities. Specifically, the first of these allows
run-times which axe bracketed, where the actual
run-time of some tasks can take on any value within a given
range. The second deals with task-graphs which arrive
asynchronously, that is where the release-time for
each task-graphs may take either any or a bracketed value. These
variations correspond to task-graphs with either
release-time or run-time jitter. The results are
robust in the sense that they apply when schedules are either
preemptive or non-preemptive as well as for several other problem variations. |
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ISSN: | 0129-0541 1793-6373 |
DOI: | 10.1142/S0129054101000667 |