Institute of Electrical and Electronics Engineers
It is a challenge to quickly supply performance numbers online driving dynamic resource provisioning in shared centers in face of the complication of applications both in scale and architecture. In this paper, the authors provide a practical solution to the above problem by laying out a theoretical framework. In order to improve the representative characterization of workload, they classify the workload into classes and adopt the regression-based methodology to extract these parameters online. They constructed both effective open and closed queuing models to evaluate the correctness and the generality of their idea.