A service trust evaluation model using clustering fuzzy inference for guiding network service selection

2018 ◽  
Vol 31 (17) ◽  
pp. e3790
Author(s):  
Zhaozheng Li ◽  
Weimin Lei
Keyword(s):  
Fuzzy Inference ◽  
Evaluation Model ◽  
Service Selection ◽  
Trust Evaluation ◽  
Network Service

A Fuzzy Based Trust Evaluation Model for Service Selection in Cloud Environment

2019 ◽  
Vol 11 (4) ◽  
pp. 13-27
Author(s):  
Priya G. ◽  
Jaisankar N.
Keyword(s):  
Fuzzy Inference ◽  
Service Providers ◽  
Evaluation Model ◽  
Service Selection ◽  
Cloud Service ◽  
Fuzzy Evaluation ◽  
Trust Evaluation ◽  
Trust Value ◽  
Computing Paradigm ◽  
Fuzzy Input

Cloud computing is a popular computing paradigm among several computing environments, but a deficit in trust among the users and the service providers prevents the large adoption of the cloud in most of the businesses. Cloud service providers should give assurances for providing the reliable services to the cloud consumers. The proposed work explains about the architecture of the trust evaluation model and considered four service measurement indexes (SMI) namely: availability, success rate, turnaround efficiency and feedback about a resource. The trust value for each resource is estimated by the fuzzy evaluation engine in which a fuzzy input set is derived from the SMI parameters. By applying a fuzzy inference rule on fuzzy input sets will yield a fuzzy output set and finally, the most trusted resource value is calculated by defuzzification process called center of gravity. The proposed work is done the implementation by using cloudsim with jfuzzycloud.

scholarly journals A Customer-Centric Trust Evaluation Model for Personalized Service Selection

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Junwei Zhang ◽  
Deyu Li ◽  
Xiaoqin Fan
Keyword(s):  
Web Services ◽  
Trust Management ◽  
Consumer Preferences ◽  
Evaluation Model ◽  
Service Selection ◽  
Trust Evaluation ◽  
Personalized Service ◽  
Proposed Model ◽  
Trust Models ◽  
Customer Trust

Trust is a very important criterion when service customers select desired Web services from a cluster of Web services with the same function. Most existing trust models cannot effectively implement personalized service selection with regard to consumer preferences and expectations. This paper designs a novel trust management method based on peer-to-peer network and presents a customer-centric trust evaluation model for personalized service selection. The trust evaluation model firstly maintains consumer-to-consumer trust values that are calculated according to preference similarity between customers, secondly gathers ratings on services submitted by other consumers, then synthesizes customer-to-customer trust and these ratings to generate personalized consumer-to-service trust, and finally selects the desired services according to the expected trust levels presented by customers. This paper conducts some experiments to demonstrate the details of service selection. Experimental results show that this model has good applicability to implement personalized service selection. The proposed model well simulates the reality.

scholarly journals Dynamic Network Service Selection in IRS-assisted Wireless Networks: A Game Theory Approach

2021 ◽  
pp. 1-1
Author(s):  
Nguyen Cong Luong ◽  
Thi Thanh Van Nguyen ◽  
Shaohan Feng ◽  
Huy T. Nguyen ◽  
Tao Dusit Niyato ◽  
...  
Keyword(s):  
Game Theory ◽  
Wireless Networks ◽  
Dynamic Network ◽  
Service Selection ◽  
Theory Approach ◽  
Network Service
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