Cloud service selection model based on trust and personality preferences

A section model under the cloud computing environment was proposed based on trustworthiness and personality preference in order to select a trusted service which satisfies the personality preference from a lot of service with similar or same functions but different quality of service. In this kind of model, hierarchical trust management architecture is as a platform and this platform is based on agent and trust domain. A service selection algorithm was proposed in order to select the closest classification for the requester's preference. A trust evaluation mechanism was introduced, combined with direct trust and domain recommended trust. Then a service resource was selected among the requester's classification, which is secure and trusted, and can satisfy the requester's personality preference. When the transaction was completed, the service satisfaction was evaluated and the trust degree was updated. Simulation results show that the model can improve the service requesters' satisfaction and has certain resilience to fraud entities.