Models for Efficient Data Replication in Cloud Computing Datacenters

Boru, Dejene; Kliazovich, Dzmitry; Granelli, Fabrizio; Bouvry, Pascal; Zomaya, Albert Y.

Reference : Models for Efficient Data Replication in Cloud Computing Datacenters


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/19443

Title :	Models for Efficient Data Replication in Cloud Computing Datacenters
Language :	English
Author, co-author :	Boru, Dejene []
	Kliazovich, Dzmitry [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Granelli, Fabrizio []
	Bouvry, Pascal [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Zomaya, Albert Y. []
Publication date :	2015
Main document title :	IEEE International Conference on Communications (ICC), London, UK, 2015
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	IEEE International Conference on Communications (ICC)
Event date :	June 2015
Keywords :	[en] cloud computing ; data replication ; energy efficiency
Abstract :	[en] Cloud computing is a computing model where users access ICT services and resources without regard to where the services are hosted. Communication resources often become a bottleneck in service provisioning for many cloud applications. Therefore, data replication which brings data (e.g., databases) closer to data consumers (e.g., cloud applications) is seen as a promising solution. In this paper we present models for energy consumption and bandwidth demand of database access in cloud computing datacenter. In addition we propose an energy efficient replication strategy based on the proposed models which results in improved Quality of Service (QoS) with reduced communication delays. The evaluation results obtained with extensive simulations help to unveil performance and energy efficiency tradeoffs as well as guide the design of future data replication solutions.
Permalink :	http://hdl.handle.net/10993/19443

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Open access	data-rep.pdf		Author postprint	1.6 MB	View/Open

All documents in ORBi^lu are protected by a user license.

University of Luxembourg Library | Feedback | Legal notices