• English
    • français
  • Help
  •  | 
  • Contact
  •  | 
  • About
  •  | 
  • Login
  • HAL portal
  •  | 
  • Pages Pro
  • EN
  •  / 
  • FR
View Item 
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
  •   LillOA Home
  • Liste des unités
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A Multi-start Local Search Scheduler for ...
  • BibTeX
  • CSV
  • Excel
  • RIS

Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Title :
A Multi-start Local Search Scheduler for an Energy-aware Cloud Manager
Author(s) :
Kessaci, Yacine [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Nouredine, Melab [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Talbi, El-Ghazali [Auteur] refId
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Conference title :
META 2012
City :
Sousse
Country :
Tunisie
Start date of the conference :
2012-10-28
Publication date :
2012-10-25
HAL domain(s) :
Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]
English abstract : [en]
The field of cloud computing uses different management techniques for data center virtualization such as OpenNebula. However, computers composing the cloud infrastructure use a significant and growing portion of energy in ...
Show more >
The field of cloud computing uses different management techniques for data center virtualization such as OpenNebula. However, computers composing the cloud infrastructure use a significant and growing portion of energy in the world specifically when dealing with virtualization for high performance computing (HPC). Therefore, energy-aware computing is crucial for large-scale systems that consume considerable amount of energy. In this paper, we present a new work that aims to deal with the energy consumption within a realistic cloud infrastructure using OpenNebula as a software management solution. Our scheduler is based on a multi-start local search heuristic that helps to find the best scheduling by dispatching the arriving of virtual machines (VM) according to the minimum energy consumption.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
Files
Thumbnail
  • https://hal.inria.fr/hal-00749063/document
  • Open access
  • Access the document
Thumbnail
  • https://hal.inria.fr/hal-00749063/document
  • Open access
  • Access the document
Université de Lille

Mentions légales
Université de Lille © 2017