Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/32118
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLibardi, R. M. de O.-
dc.contributor.authorBedo, M. V. N.-
dc.contributor.authorReiff-Marganiec, Stephan-
dc.contributor.authorEstrella, Julio C.-
dc.date.accessioned2015-05-06T12:06:35Z-
dc.date.available2015-05-06T12:06:35Z-
dc.date.issued2014-07-02-
dc.identifier.isbn978-1-4799-5062-1-
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6973844en
dc.identifier.urihttp://hdl.handle.net/2381/32118-
dc.description.abstractWith an increasing number of companies and individuals adopting cloud computing for their data needs. Naturally, there is a shift in financial and operational costs and and provided services should meet users’ performance and cost expectations. We focus on storage and propose MSSF, a Multi-cloud Storage Selection Framework. MSSF contains a basic set of algorithms, a set of security rules and a formal definition of user profiles allowing to fit cloud storage services to user needs. Preliminary experiments investigate the cost differences between two baseline algorithms and user profile models. Considering the promising initial results we provide several observations about the MSSF decision making process that will help with future improvements.en
dc.description.sponsorshipThe authors would like to thank FAPESP, CNPq and CAPES for the financial support. Part of the work was conducted while S. Reiff-Marganiec was on Study Leave supported by the University of Leicester.en
dc.language.isoenen
dc.publisherIEEEen
dc.rightsArchived with reference to SHERPA/RoMEO and publisher website. © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectCost modelen
dc.subjectDispersion algorithmsen
dc.subjectCloud servicesen
dc.titleMSSF: A step towards user-friendly multi-cloud data dispersalen
dc.typeConference Paperen
dc.identifier.doi10.1109/CLOUD.2014.138-
dc.description.statusPeer-revieweden
dc.description.versionPost-printen
dc.description.presentedIEEE 7th International Conference on Cloud Computing (CLOUD), 2014 Anchorage, AKen
dc.date.end2014-07-02-
dc.date.start2014-06-27-
pubs.organisational-group/Organisationen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERINGen
pubs.organisational-group/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Computer Scienceen
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

Files in This Item:
File Description SizeFormat 
59.CLOUD2014-WIP-MSSF.pdfPost-review (final submitted)170.22 kBAdobe PDFView/Open


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