The Cloud Computing Center Performance Analysis Model Based onQueuing Theory

Abstract

To make comprehensive and objective analysis of the performance of the cloud computing system center, a cloud computing center system analysis model based on queuing theory is proposed. First, to describe the characteristics of user's service changes request arrived at center by using Poisson distribution, the batch arrival system model was estab- lished based on queuing theory, then solve the steady-state probability of length on the probability space, finally to ana- lyze the performance indexes as blocking probability, prompt service probability, etc. by using simulation experiment. The simulation results indicate that with increased batch arrival requests, the average length of the cloud computing center increases correspondingly. Increasing the length of the buffer can reduce the blocking probability of system, the experi- mental results can provide valuable reference for cloud service providers. Cloud computing system is a kind of data processing center that takes Internet as the core. Unified schedule stor- age, software, services and other resources, constitute a vir- tual computer center, to provide users with on-demand busi- ness model. Due to the increasing species of user demand, the users put forward requests of higher service quality of cloud computing system center. Cloud computing center is the core of the cloud computing system, the advantages and disadvantages of whose performance directly determine the pros and cons of cloud computing service quality, thus make the comprehensive and accurate analysis of the performance of cloud computing system center of great significance (1, 2). For the analysis of cloud computing system center, do- mestic and foreign scholars, and experts have invested a lot of time and energy to conduct a wide range of research; a lot of cloud computing center performance models came to the fore. Traditional cloud computing center performance analy- sis models adopt the simulation system such as the realiza- tion of CloudSim , they belong to the kind of static analysis model, assuming that cloud computing system center is op- erating at static state. However, in practical applications, cloud computing systems center has large scale and complex structure, and with time-dependent nature and mutability, it is difficult to establish accurate analysis model by using tradi- tional model. In order to solve the shortage of the traditional model, this paper proposes center analysis model of cloud computing system based on the data aggregation algorithm,