Normal Cloud Model-based Algorithm For Multi-attribute Trusted Cloud Service Selection

Normal cloud model-based algorithm for multiattribute trusted cloud service selection

Abstract:

With the wide deployment of cloud computing, many security challenges have arisen such as data and storage integrity and virtualization security. The crisis of trust caused by these security issues has become one of the important factors restricting the wide applications of cloud service. Especially for security-sensitive users, it is challenging to quickly select a cloud service which has the high level of trust and can meet both the user preferences and specific functional demands. The study explores the multigranularity selection standard of trust level, the user’s preference calculation model, and the cloud service selection algorithm. Firstly, the trust evaluation mechanisms among different entities in human society area unit fitted and the multi-granularity selection standard of trust levels based on Gaussian cloud transformation is constructed. Then, the calculation model of user preferences supported the cloud analytic hierarchy process is developed. Finally, the trusty cloud service selection algorithm based on two-step fuzzy comprehensive evaluation is proposed and experimentally validated.