• DocumentCode
    235095
  • Title

    Sensitivity analysis of availability of video streaming service in cloud computing

  • Author

    Melo, Rosangela ; Bezerra, Maria Clara ; Dantas, Jamilson ; Matos, Rubens ; Melo, Ivanildo ; Maciel, Paulo

  • Author_Institution
    Inf. Center, Fed. Univ. of Pernambuco (UFPE), Recife, Brazil
  • fYear
    2014
  • fDate
    5-7 Dec. 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Cloud computing environments provide powerful storage and processing capabilities, as well as other computational resources. Due to the business potential of the pay-peruse model, as well as the advantages of easy scalability, up-to-date Video on Demand (VoD) streaming services rely on cloud infrastructures to offer a wide variety of multimedia content. This paper proposes the application of availability models to a cloud environment designed for a video streaming service. Sensitivity analysis is proposed to identify the availability bottlenecks.
  • Keywords
    cloud computing; multimedia computing; video on demand; VoD; cloud computing; multimedia content; pay-per-use model; sensitivity analysis; video on demand; video streaming service; Analytical models; Availability; Computational modeling; Computer architecture; Maintenance engineering; Sensitivity analysis; Streaming media; Availability; Markov Chains; Sensitivity analysis; Video Streaming Service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Performance Computing and Communications Conference (IPCCC), 2014 IEEE International
  • Conference_Location
    Austin, TX
  • Type

    conf

  • DOI
    10.1109/PCCC.2014.7017029
  • Filename
    7017029