摘要
针对JUFrame应用服务器老化情况,设计了多种类型的客户请求程序和服务器端程序,记录了各种参数共计5类36个参数;对影响应用服务器中间件性能的主要指标采用多维时间序列分析的方法建模。用实测数据进行分析的结果表明,用所建模型得到的预测值能很好地拟合原始数据,该模型可以用于系统实际运行时的预测,预测结果可作为再生的依据;与一维AR模型相比,预测精度提高了7%。
An experimental scenario of testing software aging of JUFrame application Sever system is appropriately designed in this paper. Multiple kinds of client applications and server programs are designed, and 36 parameters in 5 categories are recorded. A model based on key performance parameter of application server middleware is set up using multi-dimensional time series analysis method. The result shows that the predict value came from the model can simulate the original data precisely. This model can be employed to predict the practical runtime system, and the predicting result can be further used as the basis of rejuvenation. Compared with one-dimensional AR model, the prediction accuracy has been proved by 7%.
出处
《微电子学与计算机》
CSCD
北大核心
2007年第8期125-128,共4页
Microelectronics & Computer
