• DocumentCode
    566725
  • Title

    Multi-tenant behavior measurement based on multi-variable generalized predictive control

  • Author

    Peng, Liang ; Jiang, Wei ; Bei, Gong ; Yang, Ruibo

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China
  • Volume
    1
  • fYear
    2012
  • fDate
    26-28 June 2012
  • Firstpage
    24
  • Lastpage
    27
  • Abstract
    With the development of could computing, the whole information industry undergoes a fundamental change and there is no exception for networks. Due to the multi-tenancy and scalability, the traditional network involves quickly towards cloud networks in which resource sharing is a significant feature. The precise definition of entity behavior and how to measure the truth of entities´ behaviors in the cloud networking are not also lacked. In this paper, aiming at the current situation of Trusted Network and cloud networking which lacks system behavior measurement, a new behavior measurement model incorporating sharing feature of cloud computing based on prediction and control is presented.
  • Keywords
    cloud computing; predictive control; security of data; cloud computing; cloud networking; entity behavior; information industry; multitenancy; multitenant behavior measurement model; multivariable generalized predictive control; resource sharing; system behavior measurement; trusted network; Computational modeling; Predictive models; Vectors; behavioral predictive control; cloud computing; trust measurement; trusted cloud networking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Digital Content Technology (ICIDT), 2012 8th International Conference on
  • Conference_Location
    Jeju
  • Print_ISBN
    978-1-4673-1288-2
  • Type

    conf

  • Filename
    6269220