• DocumentCode
    173024
  • 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
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    952
  • Lastpage
    953
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5062-1
  • Type

    conf

  • DOI
    10.1109/CLOUD.2014.138
  • Filename
    6973844