A study on cloud platform for multi-service virtual computing resource contention

Abstract

Public or private cloud computing platform is often used to host multi-service platform. As a result of the adoption of virtual resource sharing architecture, multiple virtual machines corresponding to multi-service platform often contend for physical resources, including computing and storage as well as network resources, etc. This paper presents a method for resolving computing resource contention by using cloud platform virtual resource scheduling and resource thresholds, and provides service platform resource assurance. The experimental analysis of the solution here measures the feasibility of cloud resource scheduling solution. The program has been verified online.