Pareto Approximation Empirical Results of Energy-Aware Optimization for Precedence-Constrained Task Scheduling Considering Switching Off Completely Idle Machines

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:29:57Z
Fecha de publicación2024-01-01
ResumenRecent advances in cloud computing, large language models, and deep learning have started a race to create massive High-Performance Computing (HPC) centers worldwide. These centers increase in energy consumption proportionally to their computing capabilities; for example, according to the top 500 organization, the HPC centers Frontier, Aurora, and Super Computer Fugaku report energy consumptions of 22,786 kW, 38,698 kW, and 29,899 kW, respectively. Currently, energy-aware scheduling is a topic of interest to many researchers. However, as far as we know, this work is the first approach considering the idle energy consumption by the HPC units and the possibility of turning off unused units entirely, driven by a quantitative objective function. We found that even when turning off unused machines, the objectives of makespan and energy consumption still conflict and, therefore, their multi-objective optimization nature. This work presents empirical results for AGEMOEA, AGEMOEA2, GWASFGA, MOCell, MOMBI, MOMBI2, NSGA2, and SMS-EMOA. The best-performing algorithm is MOCell for the 400 real scheduling problem tests. In contrast, the best-performing algorithm is GWASFGA for a small-instance synthetic testbed.es_ES
Doihttps://doi.org/10.3390/math12233733es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/1900
Idiomaeses_ES
EditorialMDPI AGes_ES
RelaciónMathematicses_ES
URL relacionadohttps://doi.org/10.3390/math12233733es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteMathematics
TítuloPareto Approximation Empirical Results of Energy-Aware Optimization for Precedence-Constrained Task Scheduling Considering Switching Off Completely Idle Machineses_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorRocha, José Antonio Castán
AutorSantiago, Alejandro
AutorGarcía-Ruiz, Alejandro H.
AutorTerán-Villanueva, Jesús David
AutorMartínez, Salvador Ibarra
AutorBerrones, Mayra Guadalupe Treviño
AutorRocha, José Antonio Castánes_ES
AutorSantiago, Alejandroes_ES
AutorGarcía-Ruiz, Alejandro H.es_ES
AutorTerán-Villanueva, Jesús Davides_ES
AutorMartínez, Salvador Ibarraes_ES
AutorBerrones, Mayra Guadalupe Treviñoes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número23es_ES
Rango de páginas3733es_ES
URL relacionadahttps://doi.org/10.3390/math12233733
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen12es_ES

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