A Trust Evaluation Mechanism for Collaboration of Data-Intensive Services in Cloud

Abstract

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.