IDEAS home Printed from https://ideas.repec.org/h/spr/ssrchp/978-3-319-30599-8_11.html
   My bibliography  Save this book chapter

Modeling Availability Impact in Cloud Computing

In: Principles of Performance and Reliability Modeling and Evaluation

Author

Listed:
  • Paulo Romero Martins Maciel

    (Universidade Federal de Pernambuco, Av. Jornalista Anibal Fernandes, s/n - Cidade Universitária)

Abstract

Internet-based services have become critical to several businesses in which many aspects of our lives depend on (e.g., online banking, collaborative work, videoconferencing). Business continuity is a remarkable property and it is a chief concern for many companies, since service disruption may cause huge revenue and market share losses. In recent years, cloud computing has turned into a remarkable alternative due to its resource on-demand and pay-as-you-go models. More specifically, additional resources, such as virtual machines (VMs), are only allocated when disaster takes place, and the automated virtual platform also performs a transparent recovery to minimize the service time to restore. This chapter presents availability models to evaluate cloud computing infrastructures.

Suggested Citation

  • Paulo Romero Martins Maciel, 2016. "Modeling Availability Impact in Cloud Computing," Springer Series in Reliability Engineering, in: Lance Fiondella & Antonio Puliafito (ed.), Principles of Performance and Reliability Modeling and Evaluation, pages 287-320, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-319-30599-8_11
    DOI: 10.1007/978-3-319-30599-8_11
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ssrchp:978-3-319-30599-8_11. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.