MeURep: A novel user reputation calculation approach in personalized cloud services

User reliability is notably crucial for personalized cloud services. In cloud computing environments, large amounts of cloud services are provided for users. With the exponential increase in number of cloud services, it is difficult for users to select the appropriate services from equivalent or sim...

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Bibliographic Details
Published in:PloS one 2019-06, Vol.14 (6), p.e0217933-e0217933
Main Authors: Xu, Jianlong, Du, Xin, Cai, Weihong, Zhu, Changsheng, Chen, Yindong
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Biology and Life Sciences
Cloud Computing
Computer and Information Sciences
Computer science
Customer service
Education
Humans
Information management
International conferences
Internet of Things
Internet service providers
Laboratories
Manufacturing
Mathematical analysis
Models, Theoretical
Physical Sciences
Reliability
Reproducibility of Results
Reputations
Research and Analysis Methods
Social Sciences
Software
Time Factors
Trust
User behavior
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Summary:User reliability is notably crucial for personalized cloud services. In cloud computing environments, large amounts of cloud services are provided for users. With the exponential increase in number of cloud services, it is difficult for users to select the appropriate services from equivalent or similar candidate services. The quality-of-service (QoS) has become an important criterion for selection, and the users can conduct personalized selection according to the observed QoS data of other users; however, it is difficult to ensure that the users are reliable. Actually, unreliable users may provide unreliable QoS data and have negative effects on the personalized cloud service selection. Therefore, how to determine reliable QoS data for personalized cloud service selection remains a significant problem. To measure the reliability for each user, we present a cloud service selection framework based on user reputation and propose a new user reputation calculation approach, which is named MeURep and includes L1-MeURep and L2-MeURep. Experiments are conducted, and the results confirm that MeURep has higher efficiency than previously proposed approaches.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0217933