IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v233y2015i1p281-29210.1007-s10479-013-1380-x.html
   My bibliography  Save this article

A trust model of cloud computing based on Quality of Service

Author

Listed:
  • Paul Manuel

Abstract

Trust plays an important role in commercial cloud environments. It is one of the biggest challenges of cloud technology. Trust enables users to select the best resources in a heterogeneous cloud infrastructure. We introduce a novel trust model based on past credentials and present capabilities of a cloud resource provider. Trust value is calculated using four parameters such as availability, reliability, turnaround efficiency, and data integrity. A trust management system is proposed implementing this trust model. The paper describes how a service level agreement is prepared combining quality of service requirements of user and capabilities of cloud resource provider. We also demonstrate that our proposed model performs better than the first in first out model and similar trust models. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Paul Manuel, 2015. "A trust model of cloud computing based on Quality of Service," Annals of Operations Research, Springer, vol. 233(1), pages 281-292, October.
  • Handle: RePEc:spr:annopr:v:233:y:2015:i:1:p:281-292:10.1007/s10479-013-1380-x
    DOI: 10.1007/s10479-013-1380-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10479-013-1380-x
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10479-013-1380-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dimitrios Dechouniotis & Ioannis Dimolitsas & Konstantinos Papadakis-Vlachopapadopoulos & Symeon Papavassiliou, 2018. "Fuzzy Multi-Criteria Based Trust Management in Heterogeneous Federated Future Internet Testbeds," Future Internet, MDPI, vol. 10(7), pages 1-17, June.
    2. Asif Ali Laghari & Hui He & Muhammad Shafiq & Asiya Khan, 2019. "Application of Quality of Experience in Networked Services: Review, Trend & Perspectives," Systemic Practice and Action Research, Springer, vol. 32(5), pages 501-519, October.

    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:annopr:v:233:y:2015:i:1:p:281-292:10.1007/s10479-013-1380-x. 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.