• DocumentCode
    1708565
  • Title

    MSSF: User-Friendly Multi-cloud Data Dispersal

  • Author

    Libardi, Rafael M. de O. ; Reiff-Marganiec, Stephan ; Nunes, Luiz Henrique ; Adami, Lucas J. ; Ferreira, Carlos H. G. ; Estrella, Julio C.

  • Author_Institution
    Univ. of Sao Paulo, Sao Carlos, Brazil
  • fYear
    2015
  • Firstpage
    341
  • Lastpage
    348
  • Abstract
    Using 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.
  • Keywords
    cloud computing; integer programming; knapsack problems; linear programming; storage management; MSSF; integer linear programming; knapsack optimisation problem; multi-cloud storage selection framework; rule-based system; user-friendly multicloud data dispersal; Bandwidth; Cloud computing; Encryption; Mathematical model; Measurement; Optimization; Quality of service; Cloud Storage; Cloud services; Dispersion algorithms; Multi-cloud selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2015 IEEE 8th International Conference on
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4673-7286-2
  • Type

    conf

  • DOI
    10.1109/CLOUD.2015.53
  • Filename
    7214063