• DocumentCode
    3179884
  • Title

    ASTRO: A tool for dependability evaluation of Data Center infrastructures

  • Author

    Silva, B. ; Maciel, P. ; Tavares, E. ; Araujo, C. ; Callou, Gustavo ; Sousa, E. ; Rosa, N. ; Marwah, M. ; Sharma, R. ; Shah, A. ; Christian, T. ; Pires, J.P.

  • Author_Institution
    Center for Inf. (CIn), Fed. Univ. of Pernambuco (UFPE), Recife, Brazil
  • fYear
    2010
  • fDate
    10-13 Oct. 2010
  • Firstpage
    783
  • Lastpage
    790
  • Abstract
    The advent of cloud computing has demanded more computational resources from data centers in order to provide high-availability services required in this new paradigm. To support data center dependability evaluation, this paper presents a tool, namely, ASTRO, which adopts a hybrid modeling approach, that includes Reliability Block Diagrams (RBD), Stochastic Petri Nets (SPN) and Data Center High-Level models. In addition, this tool also provides a prominent functionality in which an evaluation result can be reused in other models. ASTRO Tool also permits a hierarchical modeling, supporting the piecewise approach proposed by the methodology in which the tool is inserted.
  • Keywords
    Internet; Petri nets; computer centres; power engineering computing; software reliability; software tools; stochastic processes; ASTRO tool; RBD; SPN; cloud computing; computational resources; data center dependability evaluation; data center high-level models; data center infrastructures; high-availability services; hybrid modeling approach; piecewise approach; reliability block diagrams; stochastic Petri nets; Data Center evaluation; Reliability Block Diagrams; Stochastic Petri Nets; dependability evaluation tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-6586-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.2010.5641852
  • Filename
    5641852