A pair-sampling constraint-programming scheduler (COSPiS) reduces peak CPU usage in a financial grid by up to 41.6% compared to manual scheduling while handling uncertainty in both job duration and CPU use.
IEEE Transactions on Automation Science and Engineering 33
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.DC 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Capacity Planning and Scheduling for Jobs with Uncertainty in Resource Usage and Duration
A pair-sampling constraint-programming scheduler (COSPiS) reduces peak CPU usage in a financial grid by up to 41.6% compared to manual scheduling while handling uncertainty in both job duration and CPU use.