Algorithms for hierarchical and semi-partitioned parallel scheduling

Autor: Gianlorenzo D'Angelo, Vincenzo Bonifaci, Alberto Marchetti-Spaccamela

Publikováno v: Journal of Computer and System Sciences
Journal of Computer and System Sciences, Elsevier, 2021, 120, pp.116-136. ⟨10.1016/j.jcss.2021.03.006⟩
Journal of Computer and System Sciences, 2021, 120, pp.116-136. ⟨10.1016/j.jcss.2021.03.006⟩
Proceedings-IEEE International Parallel and Distributed Processing Symposium (2017): 738–747. doi:10.1109/IPDPS.2017.22
info:cnr-pdr/source/autori:Bonifaci, Vincenzo; D'Angelo, Gianlorenzo; Marchetti-Spaccamela, Alberto/titolo:Algorithms for Hierarchical and Semi-Partitioned Parallel Scheduling/doi:10.1109%2FIPDPS.2017.22/rivista:Proceedings-IEEE International Parallel and Distributed Processing Symposium/anno:2017/pagina_da:738/pagina_a:747/intervallo_pagine:738–747/volume
IPDPS

We propose a model for scheduling jobs in a parallel machine setting that takes into account the cost of migrations by assuming that the processing time of a job may depend on the specific set of machines among which the job is migrated. For the make

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http://hdl.handle.net/11573/1571248

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