通过使用更改为主动的20秒超时值，模型计算所得的总体服务速率为1.19秒，转换为吞吐量为每秒84个请求。
With the more aggressive 20-second timeout value, the model computes an overall service rate of 1.19 seconds, which translates to a throughput of 84 requests per second.
自动化意味着模型(以及后来的模型语言)的不明确和不精密的消除，所以计算机程序能转换并熟练地操纵模型。
Automation implies the elimination of ambiguity and imprecision from models (and, hence, from the modeling language) so that computer programs can transform and manipulate models.
采用了四阶龙格-库塔算法，将数学模型转换为可仿真的离散模型，并利用MATLAB7.0对其进行了计算机仿真。
The fourth order Runge-Kutta method is used to transform the mathematics model into discrete simulation model, using MATLAB7.0 simulation software to simulate its dynastic performance.
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