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A Trust Evaluation Mechanism for Collaboration of Data-Intensive Services in Cloud |
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PP: 121-129 |
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Author(s) |
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Longtao Huang,
Shuiguang Deng,
Ying Li,
Jian Wu,
Jianwei Yin,
Gexin Li,
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Abstract |
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| Trust and reputation for services emerges as an important issue in cloud computing. Since data-intensive services in cloud
have been used in more and more fields, trust evaluation for collaboration of services meets more challenges. There are not only logical
dependencies but also data dependencies among partner services when data-intensive services take part in collaboration. This paper
proposes a novel trust evaluation method for collaborations of data-intensive services. It considers not only the trust for individual
partner services and the explicit trust relation among partner services that have logical dependencies for each other, but also the implicit
trust relation implied in data-dependencies among services. A serial of experiments, using the simulation tool NetLogo, are carried
out to compare the evaluation results between the proposed method and the method without data-dependency consideration. The result
shows that taking consideration of the data-dependency trust improves the accuracy of trust evaluation to a great extent. |
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