IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v9y2018i3d10.1007_s13198-014-0329-z.html
   My bibliography  Save this article

A study on impact of untrustworthy and older recommendations over T-Grid computational model

Author

Listed:
  • P. Suresh Kumar

    (Kakatiya Institute of Technology and Science)

  • S. Ramachandram

    (Osmania University)

Abstract

Trust can be either direct or indirect based on the direct impression established by the recipient of the services or feedback given by recommenders over the service provider respectively. However, untrustworthy recommendations may lead to misuse of valuable resources, especially in grid like distributed environment where continuous dynamic sharing of the resources is involved. Further, a genuine recommendation may become older over a period of time in a trust database and using such values in trust evaluation may lead to misinterpreted estimates of the trust. Hence, eliminating such untrustworthy and older recommendations from the interactions can construct a robust and reliable grid computing environment. Proposed T-Grid model eliminates untrustworthy recommendations from the grid while considering parameters like credibility and trust decay of a recommending entity. This paper analyzes the performance evaluation of proposed T-Grid model in terms of trustworthiness of the resource providers, effect of decay and utilization ratio of the resources. Results of the analysis are produced.

Suggested Citation

  • P. Suresh Kumar & S. Ramachandram, 2018. "A study on impact of untrustworthy and older recommendations over T-Grid computational model," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(3), pages 646-656, June.
    • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:3:d:10.1007_s13198-014-0329-z
    DOI: 10.1007/s13198-014-0329-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-014-0329-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-014-0329-z?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.

    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:ijsaem:v:9:y:2018:i:3:d:10.1007_s13198-014-0329-z. 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.