Title :

An Energy-aware Multi-start Local Search Heuristic for Scheduling VMs on the OpenNebula Cloud Distribution

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]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]

Conference title :

HPCS 2012

City :

Madrid

Country :

Espagne

Start date of the conference :

2012-07-02

Publication date :

2012-07-02

English keyword(s) :

local search
energy-aware scheduling
cloud distribution
cloud computing
resource allocation
OpenNebula
multi-start
local search.

HAL domain(s) :

Informatique [cs]/Calcul parallèle, distribué et partagé [cs.DC]

English abstract : [en]

Reducing energy consumption is an increasingly important issue in cloud computing, more specifically when dealing with a cloud distribution dispatched over a huge number of machines. Minimizing energy consumption can ...
Show more >Reducing energy consumption is an increasingly important issue in cloud computing, more specifically when dealing with a cloud distribution dispatched over a huge number of machines. Minimizing energy consumption can significantly reduce the amount of energy bills, and the greenhouse gas emissions. Therefore, many researches are carried out to develop new methods in order to consume less energy. In this paper, we present an Energy-aware Multi-start Local Search algorithm for an OpenNebula based Cloud (EMLS-ONC) that optimizes the energy consumption of an OpenNebula managed geographically distributed cloud computing infrastructure. The results of our EMLS-ONC scheduler are compared to the results obtained by the default scheduler of OpenNebula. The two approaches have been experimented using different (VMs) arrival scenarios and different hardware infrastructures. The results show that EMLS-ONC outperforms the previous OpenNebula's scheduler by a significant margin in terms of energy consumption. In addition, EMLS-ONC is also proved to schedule more applications.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