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.
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.
出处
《西南师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2011年第4期193-197,共5页
Journal of Southwest China Normal University(Natural Science Edition)
