| 基于BP神经网络和马尔科夫模型的服务器软件老化预测方法 |
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| 引用本文： | 林已杰,赖清,周敏.基于BP神经网络和马尔科夫模型的服务器软件老化预测方法[J].西南师范大学学报(自然科学版),2011,36(4). |
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| 作者姓名： | 林已杰 赖清 周敏 |
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| 作者单位： | 1. 西南大学信息中心,重庆,400715
2. 重庆医科大学计算机教研室,重庆,400016 |
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| 摘 要： | 针对服务器软件老化的现象,提出了一种基于BP神经网络和马尔科夫模型结合的方法对服务器关键资源进行预测.实验表明,该算法有一定的预测精度,在一定程度上能够满足服务器老化预测的要求,为服务器抗老化策略的制定提供了依据.
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| 关 键 词： | 软件老化 BP神经网络 马尔科夫模型 预测 |
A Study on Software Aging Forecasting of Web Server in BP Neural Network Methods&Markov Model Methods |
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| LIN Yi-jie,LAI Qing,ZHOU Min.A Study on Software Aging Forecasting of Web Server in BP Neural Network Methods&Markov Model Methods[J].Journal of Southwest China Normal University(Natural Science),2011,36(4). |
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| Authors: | LIN Yi-jie LAI Qing ZHOU Min |
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| Institution: | LIN Yi-jie1,LAI Qing2,ZHOU Min11.Information Center,Southwest University,Chongqing 400715,China,2.Teaching and Research Section of Computer,Chongqing Medical University,Chongqing 400016 |
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| Abstract: | By the computer system resource exhausting,running server system does not avoid software aging.This paper gives a method based on BP Neural Network and Markov Model to forecast system key parameter.Finally,through analyzing of the result of the experiment,the authors get more accurate value.This provides a strong basis for software aging forecasting on server. |
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| Keywords: | software aging BP neural network Markov model forecast |
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