loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Stephanie Challita ; Fawaz Paraiso and Philippe Merle

Affiliation: Inria Lille - Nord Europe, University of Lille and CRIStAL UMR CNRS 9189, France

Keyword(s): VM Placement, Data Center, Multi-objective Optimization, Energy-aware, Traffic-aware, Cloud computing.

Abstract: 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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.224.30.118

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Challita, S.; Paraiso, F. and Merle, P. (2017). A Study of Virtual Machine Placement Optimization in Data Centers. In Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-243-1; ISSN 2184-5042, SciTePress, pages 343-350. DOI: 10.5220/0006236503430350

@conference{closer17,
author={Stephanie Challita. and Fawaz Paraiso. and Philippe Merle.},
title={A Study of Virtual Machine Placement Optimization in Data Centers},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER},
year={2017},
pages={343-350},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006236503430350},
isbn={978-989-758-243-1},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER
TI - A Study of Virtual Machine Placement Optimization in Data Centers
SN - 978-989-758-243-1
IS - 2184-5042
AU - Challita, S.
AU - Paraiso, F.
AU - Merle, P.
PY - 2017
SP - 343
EP - 350
DO - 10.5220/0006236503430350
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic