IDEAS home Printed from https://ideas.repec.org/h/spr/ssrchp/978-3-319-30599-8_20.html
   My bibliography  Save this book chapter

Workloads in the Clouds

In: Principles of Performance and Reliability Modeling and Evaluation

Author

Listed:
  • Maria Carla Calzarossa

    (Università degli Studi di Pavia)

  • Marco L. Della Vedova

    (Università Cattolica del Sacro Cuore)

  • Luisa Massari

    (Università degli Studi di Pavia)

  • Dana Petcu

    (Universitatea de Vest din Timişoara)

  • Momin I. M. Tabash

    (Università degli Studi di Pavia)

  • Daniele Tessera

    (Università Cattolica del Sacro Cuore)

Abstract

Despite the fast evolution of cloud computing, up to now the characterization of cloud workloads has received little attention. Nevertheless, a deep understanding of their properties and behavior is essential for an effective deployment of cloud technologies and for achieving the desired service levels. While the general principles applied to parallel and distributed systems are still valid, several peculiarities require the attention of both researchers and practitioners. The aim of this chapter is to highlight the most relevant characteristics of cloud workloads as well as identify and discuss the main issues related to their deployment and the gaps that need to be filled.

Suggested Citation

  • Maria Carla Calzarossa & Marco L. Della Vedova & Luisa Massari & Dana Petcu & Momin I. M. Tabash & Daniele Tessera, 2016. "Workloads in the Clouds," Springer Series in Reliability Engineering, in: Lance Fiondella & Antonio Puliafito (ed.), Principles of Performance and Reliability Modeling and Evaluation, pages 525-550, Springer.
  • Handle: RePEc:spr:ssrchp:978-3-319-30599-8_20
    DOI: 10.1007/978-3-319-30599-8_20
    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_20. 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.