A two-stage stochastic model for cloud computing simulation of resource efficiency cost analysis
Lei Li, Yang Xue, Yuli Lin · 2017
Cloud computing has changed the traditional way of the Internet resource provision into the pay-per-use, but how to evaluate the performance and the Quality of service(QoS) by using simulation tool is a complex problem given the limits of physical resource. Considering these issues, we design a two-stage stochastic model based on queueing network theory for the cloud computing simulation. It composes the complete structure of Infrastructure as a Service and can be used to analyze the performance and the resource utilization rate under different running environments and resource specifications. To demonstrate the validity of the model, an example of the minimum resource for QoS guaranteeing search (MROGS) algorithm which can search the suitable threshold of resource size is given. The simulation results indicate that the model can accurately present the real performance of cloud computing platform, and the MROGS algorithm can find a suitable resource threshold to achieve higher resource utilization rate and assure the QoS simultaneously.