• DocumentCode
    2468439
  • Title

    Infrastructure modeling of converged networks for business-oriented metrics evaluation

  • Author

    Guimares, Almir P. ; Maciel, Paulo R M

  • Author_Institution
    Fed. Univ. of Alagoas, Arapiraca, Brazil
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1274
  • Lastpage
    1279
  • Abstract
    Nowadays society has increasingly relied on convergent networks as an essential means for individuals, businesses, and governments. Strategies, methods, models and techniques for preventing and handling hardware or software failure as well as avoiding performance degradation is, thus, fundamental for prevailing in business. Issues such as operational costs, revenues and the respective relationship to key performance metrics are central for defining the required system infrastructure. Our work aims to provide system performance and dependability models for supporting optimization of infrastructure design aiming at business oriented metrics. In addition, a methodology is also adopted to support both the modeling and the evaluation process.
  • Keywords
    business data processing; software performance evaluation; system recovery; business oriented metrics; business-oriented metrics evaluation; converged network; dependability model; hardware failure handling; infrastructure design optimization; infrastructure modeling; operational cost; performance degradation avoidance; performance metrics; revenue; software failure handling; Analytical models; Availability; Business; Computational modeling; Computer architecture; Measurement; Dependability; Infrastructure Design; Reliability Block Diagram; Reliability Importance; Stochastic Petri Net;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377908
  • Filename
    6377908