Trust Computing Model Based on Meta-Heuristic Approach for Collaborative Cloud Environment

Abstract

Collaborative cloud environment required trustworthiness from and to consumer and provides services associated with it. Operations related to consumer’s side are able to send task and crucial data to the cloud data center, that operation raises high trust between both the parties. Large flow of user request becomes complicated and heavy to mange in collaborative computation offered by the cloud. So, inter-service bed must provide and tackle large number of consumer request efficiently and provide or allocated trustworthy resources to associate the request. In this context, precision-based manageable service provider platform with respect to trust is emerging as a vital problem. In this paper, we have proposed a precise and collaborative trust computing mechanism by using meta-heuristic approach for trustworthy cloud computing. In initial module, inter-service platform relay response and request for managing and logging of allocated virtual machine. In the second module, resource selection by using nonlinear objective functions with the help of meta-heuristic approach to improve trust evaluation. All those operation depend on quality parameter. Therefore, in the third module, we proposed QoS prediction by appling learning approach, i.e., neural network to understand historical information in collaborative cloud computing environments. Performance analysis and experimental results verified the feasibility and effectiveness of the proposed scheme.