Dynamic Deployment of Power IoT Security Components with Unified Resource Scheduling

Abstract

The use of multiple virtualization platforms also brings new problems: it is difficult to uniformly and effectively manage the security components under multiple virtualization platforms; when instantiating virtual machines, how to choose a reasonable virtualization platform in order to make use of resources The highest rate; faced with complex applications, how to achieve rapid orchestration and deployment of application-oriented virtual machines. In view of the above problems, this article introduces the integrated resource model and the two-level balance allocation strategy. First describe and design virtual resources in a heterogeneous environment, then define an integrated model, and finally achieve integrated management of security components in a cross-platform environment; then, a combination of particle swarm optimization and the resource utilization of the host and platform, Propose and implement a two-level balance allocation strategy. A dynamic distribution and deployment mechanism of power IoT security components based on unified resource scheduling is proposed. The specific work is as follows:(1) Designed an integrated resource model, unified management of cross-platform virtual resources; abstracted the virtual resources under the virtualization platform, adopted the “object-oriented” design principle, in the resource management platform, to achieve cross-platform virtual Comprehensive management of resources.(2) A two-level balance allocation strategy is proposed. When instantiating a virtual machine, the resource utilization rate of each host under the host platform and the resource utilization rate of each host platform are comprehensively considered, and the particle swarm optimization algorithm is adopted. The principle of “calculating resource utilization first, and then balanced deployment” enables the virtual machine to automatically select the host platform and host machine, reducing human intervention and improving resource utilization. The research content proposed in this paper has been verified in the actual environment, which can effectively manage the virtual resources under the multi-virtualization platform, and improve the efficiency of resource utilization and application deployment.