Name
Title | ||
|---|---|---|
CAN-TM: Chain Augmented Naïve Bayes-based Trust Model for Reliable Cloud Service Selection |
Abstract | ||
|---|---|---|
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.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3341732 | ACM Transactions on Internet Technology |
Keywords | Field | DocType |
Trust management systems,reliable cloud service selection,robustness | Data mining,Naive Bayes classifier,Computer science,Robustness (computer science),Cloud computing | Journal |
Volume | Issue | ISSN |
19 | 4 | 1533-5399 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manel Mrabet | 1 | 1 | 1.36 |
| Yosra Ben Saied | 2 | 103 | 7.78 |
| Leïla Azouz Saïdane | 3 | 141 | 37.35 |