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基于强局部加权回归算法的软件老化趋势提取
引用本文:蒋乐天,徐国治,周玲玲.基于强局部加权回归算法的软件老化趋势提取[J].上海交通大学学报,2006,40(11):1951-1954.
作者姓名:蒋乐天  徐国治  周玲玲
作者单位:上海交通大学,电子工程系,上海,200240
摘    要:针对软件老化引起系统资源损耗、系统性能恶化以及软件失效的现象,提出利用强局部加权回归算法进行软件老化趋势的提取方法.该方法利用强局部加权回归算法对系统资源的损耗过程进行提取,得到软件老化的趋势估计,建立软件老化模型.从而可为由于软件老化所引起的软件失效提供前期预测,为系统软件的及时维护提供科学依据.通过对一实际软件系统的实验分析,验证了该方法的可行性和有效性.

关 键 词:软件老化  强局部加权回归  趋势提取
文章编号:1006-2467(2006)11-1951-04
收稿时间:2005-10-20
修稿时间:2005年10月20

Abstraction of Software Aging Trend Based on Robust Locally Weighted Regression Algorithm
JIANG Le-tian,XU Guo-zhi,ZHOU Ling-ling.Abstraction of Software Aging Trend Based on Robust Locally Weighted Regression Algorithm[J].Journal of Shanghai Jiaotong University,2006,40(11):1951-1954.
Authors:JIANG Le-tian  XU Guo-zhi  ZHOU Ling-ling
Institution:Dept. of Electronic Eng. , Shanghai Jiaotong Univ. , Shanghai 200240, China
Abstract:Software in operational phase often experiences an aging phenomenon,characterized by either progressive performance degradation or transient failures or both,which is caused by aging-related software faults.In order to deal with software aging,a method based on robust locally weighted regression algorithm was presented to abstract aging trend from system resource usage.With the trend,software failure can be predicted and avoided.An experiment for a practical system verifies that the presented method is feasible and effective.
Keywords:software aging  robust locally weighted regression  trend abstraction
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