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To solve the lack of modeling and evaluation solution in cloud system with large scale, complex structure, significant dynamism and Strong correlation among hierarchies, we propose a novel Queuing Petri Net based Cloud system evaluation model (QPNC). QPNC combines Queuing Theory and Petri Nets and aims at taking their advantages. The model is adaptive to the quantitative evaluation and activity description, thus can effectively model and simulate the complex cloud system. Based on the model, we further propose and improve the system of quantitative analysis and evaluation for cloud system and simulate the dynamic service effect of cloud system under massive parallelism cases. The experimental results show that QPNC can effectively reflect the characteristics of cloud system in performance and service and highly simulate the varied dynamic service behaviors of cloud system, which provides quantitative analysis and theoretical basis for designing and building more effective and targeted cloud system.