A hierarchical approach for energy-efficient ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
A hierarchical approach for energy-efficient scheduling of large workloads in multicore distributed systems
Auteur(s) :
Dorronsoro, Bernabé [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Nesmachnow, Sergio [Auteur]
UDELAR, Facultad de Ingenieria [Montevideo] [UDELAR]
Zomaya, Albert [Auteur]
Centre for Distributed and High Performance Computing
Talbi, El-Ghazali [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Bouvry, Pascal [Auteur]
University of Luxembourg [Luxembourg]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Nesmachnow, Sergio [Auteur]
UDELAR, Facultad de Ingenieria [Montevideo] [UDELAR]
Zomaya, Albert [Auteur]
Centre for Distributed and High Performance Computing
Talbi, El-Ghazali [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Bouvry, Pascal [Auteur]
University of Luxembourg [Luxembourg]
Titre de la revue :
Sustainable Computing : Informatics and Systems
Pagination :
252-261
Éditeur :
Elsevier
Date de publication :
2014-12
ISSN :
2210-5379
Mot(s)-clé(s) en anglais :
Energy efficiency
Workflows
Multicore
Scheduling heuristics
Workflows
Multicore
Scheduling heuristics
Discipline(s) HAL :
Informatique [cs]/Recherche opérationnelle [cs.RO]
Résumé en anglais : [en]
This article presents a two-level strategy for scheduling large workloads of parallel applications in multicore distributed systems, taking into account the minimization of both the total computation time and the energy ...
Lire la suite >This article presents a two-level strategy for scheduling large workloads of parallel applications in multicore distributed systems, taking into account the minimization of both the total computation time and the energy consumption of solutions. Nowadays, energy efficiency is of major concern when using large computing systems such as cluster, grid, and cloud computing facilities. In the approach proposed in this article, a combination of higher-level (i.e., between distributed systems) and lower-level (i.e., within each data-center) schedulers are studied for finding efficient mappings of workflows into the resources in order to maximize the quality of service, while reducing the energy required to compute them. The experimental evaluation demonstrates that accurate schedules are computed by using combined list scheduling heuristics (accounting for both problem objectives) in the higher level, and ad-hoc scheduling techniques to take advantage of multicore infrastructures in the lower level. Solutions are also evaluated with two user- and administrator-oriented metrics. Significant improvements are reported on the two problem objectives when compared with traditional load-balancing and round-robin techniques.Lire moins >
Lire la suite >This article presents a two-level strategy for scheduling large workloads of parallel applications in multicore distributed systems, taking into account the minimization of both the total computation time and the energy consumption of solutions. Nowadays, energy efficiency is of major concern when using large computing systems such as cluster, grid, and cloud computing facilities. In the approach proposed in this article, a combination of higher-level (i.e., between distributed systems) and lower-level (i.e., within each data-center) schedulers are studied for finding efficient mappings of workflows into the resources in order to maximize the quality of service, while reducing the energy required to compute them. The experimental evaluation demonstrates that accurate schedules are computed by using combined list scheduling heuristics (accounting for both problem objectives) in the higher level, and ad-hoc scheduling techniques to take advantage of multicore infrastructures in the lower level. Solutions are also evaluated with two user- and administrator-oriented metrics. Significant improvements are reported on the two problem objectives when compared with traditional load-balancing and round-robin techniques.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :