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]
Facultad de Ingenieria [Montevideo]
Zomaya, Albert [Auteur]
Centre for Distributed and High Performance Computing
Talbi, El-Ghazali [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Bouvry, Pascal [Auteur]
Université du Luxembourg = University of Luxembourg = Universität Luxemburg [uni.lu]

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

Discipline(s) HAL :

Computer Science [cs]/Operations Research [math.OC]

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 >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL