Design of Intelligence Multi-agent for Virtualization Resource in Cloud Computing

Abstract

Network management becomes more difficult for the increasing of data transmission speed and the network complexity, the paper presents an intelligence multi-agent for virtual resource model in cloud computing. We illustrate that it's process and discuss the mechanism of each agent. The proposed model is able to analyze social media service resources in real time by user context and system state and infers user on-demand by analyzing and learning user context information. It automatically allocates resources suitable for users in cloud computing environment depending on types of virtual resources. In addition, we evaluate the model with dynamic scheduling method of virtual resources in cloud computing and the Movie Lens system. The results prove that proposed model presents better overall performance, achieves dynamic scheduling of virtualization resources and dynamically load balancing so that users can utilize efficient virtualization resources in the cloud computing.