• DocumentCode
    2444967
  • Title

    Enabling Cloud Service Reservation with Derivatives and Yield Management

  • Author

    Meinl, Thomas ; Anandasivam, Arun ; Tatsubori, Michiaki

  • Author_Institution
    Inst. of Inf. Syst. & Manage., Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany
  • fYear
    2010
  • fDate
    10-12 Nov. 2010
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    Since the cloud computing advent a few years ago this paradigm has proved itself to be extremely successive in the industrial sector. IT and business managers agree that this form of highly-dynamic provision of IT services will play a major role in the IT world during the next decades. Several business models have already been developed and implemented, including also dynamic pricing schemes. Given that, we analyze in this work two distinct reservation system approaches from related areas and how they can be applied to the cloud computing scenario. We state the different requirements and set up a realistic implementable model in order to enable cloud vendors to improve their revenues.
  • Keywords
    business data processing; cloud computing; information technology; pricing; IT service; business model; cloud computing; cloud service reservation; dynamic pricing; yield management; Analytical models; Cloud computing; Computational modeling; Contracts; Pricing; Stochastic processes; Poisson arrival processes; cloud computing; derivatives; yield management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Commerce and Enterprise Computing (CEC), 2010 IEEE 12th Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8433-1
  • Electronic_ISBN
    978-0-7695-4228-7
  • Type

    conf

  • DOI
    10.1109/CEC.2010.10
  • Filename
    5708405