CAN-TM: Chain Augmented Naïve Bayes-based Trust Model for Reliable Cloud Service Selection

The increasing proliferation of Cloud Services (CSs) has made the reliable CS selection problem a major challenge. To tackle this problem, this article introduces a new trust model called Chain Augmented Naïve Bayes-based Trust Model (CAN-TM). This model leverages the correlation that may exist amon...

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Bibliographic Details
Published in:ACM transactions on Internet technology 2019-11, Vol.19 (4), p.1-20
Main Authors: Mrabet, Manel, Saied, Yosra Ben, Saidane, Leila Azouz
Format: Article
Language:English
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Summary:The increasing proliferation of Cloud Services (CSs) has made the reliable CS selection problem a major challenge. To tackle this problem, this article introduces a new trust model called Chain Augmented Naïve Bayes-based Trust Model (CAN-TM). This model leverages the correlation that may exist among QoS attributes to solve many issues in reliable CS selection challenge, such as predicting missing assessments and improving accuracy of trust computing. This is achieved by combining both the n-gram Markov model and the Naïve Bayes model. Experiments are conducted to validate that our proposed CAN-TM outperforms state-of-the-art approaches.
ISSN:1533-5399
1557-6051
DOI:10.1145/3341732