Title :
MSSF: A Step towards User-Friendly Multi-cloud Data Dispersal
Author :
De Oliveira Libardi, Rafael Mira ; Naves Bedo, Marcos Vinicius ; Reiff Marganiec, Stephan ; Estrella, Julio C.
Author_Institution :
Univ. of Leicester, Leicester, UK
fDate :
June 27 2014-July 2 2014
Abstract :
With 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.
Keywords :
cloud computing; data handling; human computer interaction; security of data; storage management; MSSF decision making process; cloud computing; cloud storage services; formal user profile definition; multicloud data dispersal; multicloud storage selection framework; security rules; user profile models; user-friendly data dispersal; Algorithm design and analysis; Availability; Cloud computing; Dispersion; Redundancy; Reed-Solomon codes; Security; Cloud services; Cost model; Dispersion algorithms;
Conference_Titel :
Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5062-1
DOI :
10.1109/CLOUD.2014.138
