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dc.contributor.authorLibardi, R. M. de O.-
dc.contributor.authorReiff-Marganiec, Stephan-
dc.contributor.authorNunes, L. H.-
dc.contributor.authorAdami, L. J.-
dc.contributor.authorFerreira, C. H. G.-
dc.contributor.authorEstrella, J. C.-
dc.description.abstractUsing a multi-cloud storage solution requires a user to make complex decisions. Making these decisions can be a problem for regular users who are not familiar with multi-cloud storage. We propose MSSF, a Multi-cloud Storage Selection Framework to automatically select a storage dispersal strategy. MSSF formalises the selection process using a knapsack optimisation problem using integer linear programming along with a rule-based system to select a multi-cloud storage strategy that fits the user needs and requires only simple inputs from the user. Our experiments show the performance and usability aspects of our solution, making it useful in real environments.en
dc.description.sponsorshipThe authors thank FAPESP, CNPq and CAPES for the financial support. Part of the work was conducted while Rafael M. de O. Libardi was at the University of Leicester supported by FAPESP through process 2013/05567-9 and 2014/05888-2.en
dc.subjectDispersion algorithmsen
dc.subjectCloud servicesen
dc.subjectMulti-cloud selectionen
dc.subjectCloud Storageen
dc.titleMSSF: User-friendly multi-cloud data dispersalen
dc.typeConference Paperen
dc.description.presentedCLOUD 2015, New York, USAen
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

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