The full text of this article

 

Reputation measurement of cloud services based on unstable feedback ratings
by Shangguang Wang; Lei Sun; Qibo Sun; Jie Wei; Fangchun Yang
International Journal of Web and Grid Services (IJWGS), Vol. 11, No. 4, 2015

 

Abstract: With the rapid development of cloud computing, more and more service providers could provide cloud services (applications) to users. Faced with mass cloud services, trust and reputation mechanisms offer a promising way to solve the trust evaluation of cloud services. Hence, trust and reputation play an important role in evaluation of cloud services. In this paper, we propose a lightweight reputation measurement approach for cloud services based on (user) feedback ratings. The proposed approach first adopts cloud model to obtain the trust vector of each cloud service by exploiting feedback ratings. The trust vector consists of expected value, entropy value and hyper-entropy value. Then we use the fuzzy set theory to calculate the reputation scores of cloud services. Simulation results show that the proposed approach is significantly effective for unstable feedback ratings.

Online publication date: Wed, 28-Oct-2015

 

is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

 
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

 
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Web and Grid Services (IJWGS):
Login with your Inderscience username and password:

 

    Username:        Password:         

Forgotten your password?


 
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

 
If you still need assistance, please email subs@inderscience.com