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

P. Suresh Kumar () and S. Ramachandram ()
Additional contact information
P. Suresh Kumar: Kakatiya Institute of Technology and Science
S. Ramachandram: Osmania University

International Journal of System Assurance Engineering and Management, 2018, vol. 9, issue 3, No 9, 646-656

Abstract: 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.

Keywords: Grid computing; Trust; Indirect trust; Fuzzy; Recommendations; Credibility; Decay; T-Grid (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-014-0329-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:9:y:2018:i:3:d:10.1007_s13198-014-0329-z

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-014-0329-z

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().