Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/57
DC FieldValueLanguage
dc.contributor.authorBerkane, Mohamed Lamineen_US
dc.contributor.authorBoufaida, Mahmouden_US
dc.contributor.authorBouzerzoura, Nour El Houdaen_US
dc.date.accessioned2021-01-01T20:17:54Z-
dc.date.available2021-01-01T20:17:54Z-
dc.date.issued2020-11-20-
dc.identifier.urihttp://dspace.univ-constantine2.dz/handle/123456789/57-
dc.description<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.en_US
dc.description.abstractCloud computing represents one of major innovations in Information Technology (IT). It is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources. Elasticity is one of the most important characteristic in the cloud. Due to the enormous amounts of energy consumed by a cloud, it becomes difficult to build an elasticity system that satisfies all the requirements that might arise during its lifetime. Different approaches are proposed to address the energy-efficiency in the modelling of elasticity system at multiple layers of cloud services. Most of the existing approaches measure the overall hardware energy consumption, instead of the energy consumption of the software. Understanding how energy is consumed by cloud with elastic scaling mechanism is a key for managing better energy efficient software. This work proposes an architecture for modelling elasticity and energy-efficiency in the application layer. This architecture combines both the characteristics of adaptation (with Autonomic Computing) and variability (with Feature Model) into a single solution. The feature model considers the variability in the structural modelling and the behaviour one. We show the feasibility of the proposed approach by analysing the smart university applications associated with the Znn.com scenarioen_US
dc.language.isoenen_US
dc.relation.ispartofJournal of King Saud University - Computer and Information Sciencesen_US
dc.subjectCloud Computingen_US
dc.subjectElasticityen_US
dc.subjectSmart universityen_US
dc.subjectAutonomic computingen_US
dc.subjectEnergy-efficiencyen_US
dc.titleModelling elastic scaling of cloud with energy-efficiency: Application to smart-universityen_US
dc.typejournal articleen_US
dc.identifier.doihttps://doi.org/10.1016/j.jksuci.2020.11.025-
dc.contributor.affiliationFaculty of Information and Communication Technology (ICT)en_US
dc.contributor.affiliationFaculty of Information and Communication Technology (ICT)en_US
dc.contributor.affiliationFaculty of Information and Communication Technology (ICT)en_US
dc.relation.issn1319-1578en_US
item.languageiso639-1en-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypejournal article-
crisitem.author.deptFaculty of Information and Communication Technology (ICT)-
crisitem.author.deptFaculty of Information and Communication Technology (ICT)-
crisitem.author.deptFaculty of Information and Communication Technology (ICT)-
crisitem.author.parentorgAbdelhamid Mehri University Constantine2-
crisitem.author.parentorgAbdelhamid Mehri University Constantine2-
crisitem.author.parentorgAbdelhamid Mehri University Constantine2-
Appears in Collections:Journal Articles
Files in This Item:
File Description SizeFormat
1-s2.0-S1319157820305541-main.pdf3.36 MBAdobe PDFView/Open

Show simple item record

Page view(s)

44
Last Week
0
Last month
checked on Jan 29, 2021

Download(s)

14
checked on Jan 29, 2021

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.