A Study of Virtual Machine Placement Optimization in Data Centers

Challita, Stéphanie; Paraiso, Fawaz; Merle, Philippe

Type de document :

Communication dans un congrès avec actes

DOI :

10.5220/0006236503430350

Titre :

A Study of Virtual Machine Placement Optimization in Data Centers

Auteur(s) :

Challita, Stéphanie [Auteur]
Université de Lille, Sciences et Technologies
Self-adaptation for distributed services and large software systems [SPIRALS]
Paraiso, Fawaz [Auteur]
Université de Lille, Sciences et Technologies
Self-adaptation for distributed services and large software systems [SPIRALS]
Merle, Philippe [Auteur]

Université de Lille, Sciences et Technologies
Self-adaptation for distributed services and large software systems [SPIRALS]

Éditeur(s) ou directeur(s) scientifique(s) :

ScitePress

Titre de la manifestation scientifique :

7th International Conference on Cloud Computing and Services Science (CLOSER)

Organisateur(s) de la manifestation scientifique :

INSTICC

Ville :

Porto

Pays :

Portugal

Date de début de la manifestation scientifique :

2017-04-24

Date de publication :

2017-04

Mot(s)-clé(s) en anglais :

Data center
Cloud computing
VM placement
Traffic-aware
Energy-aware
Multi-objective optimization

Discipline(s) HAL :

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

Résumé en anglais : [en]

In recent years, cloud computing has shown a valuable way for accommodating and providing services over the Internet such that data centers rely increasingly on this platform to host a large amount of applications (web ...
Lire la suite >In recent years, cloud computing has shown a valuable way for accommodating and providing services over the Internet such that data centers rely increasingly on this platform to host a large amount of applications (web hosting, e-commerce, social networking, etc.). Thus, the utilization of servers in most data centers can be improved by adding virtualization and selecting the most suitable host for each Virtual Machine (VM). The problem of VM placement is an optimization problem aiming for multiple goals. It can be covered through various approaches. Each approach aims to simultaneously reduce power consumption, maximize resource utilization and avoid traffic congestion. The main goal of this literature survey is to provide a better understanding of existing approaches and algorithms that ensure better VM placement in the context of cloud computing and to identify future directions.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

Fichiers

https://hal.inria.fr/hal-01481631/document
Accès libre
Accéder au document

https://hal.inria.fr/hal-01481631/document
Accès libre
Accéder au document

https://hal.inria.fr/hal-01481631/document
Accès libre
Accéder au document

document
Accès libre
Accéder au document

A%20Study%20of%20Virtual%20Machine%20Placement%20Optimization%20in%20Data%20Centers%20%281%29.pdf
Accès libre
Accéder au document

document
Accès libre
Accéder au document

A%20Study%20of%20Virtual%20Machine%20Placement%20Optimization%20in%20Data%20Centers%20%281%29.pdf
Accès libre
Accéder au document

A Study of Virtual Machine Placement ... BibTeX CSV Excel RIS

Fichiers

A Study of Virtual Machine Placement ...

BibTeX

CSV

Excel

RIS