基于自律计算的系统可信性自调节模型  

System dependability self-tuning model based on autonomic computing

作　　者：吴庆涛[1] 郑瑞娟[1] 张明川[1] 魏汪洋[1] 李冠峰[1] 

机构地区：[1]河南科技大学电子信息工程学院,河南洛阳471003

出　　处：《计算机工程与应用》2011年第25期93-96,103,共5页Computer Engineering and Applications

基　　金：国家自然科学基金(No.61003035);河南省教育厅自然科学研究计划项目(No.2009A520012)~~

摘　　要：保障和增强系统的可靠性、安全性和稳定性等可信性质是对系统服务的高级要求。提出了一个基于自律计算理念的系统可信性自调节模型,该模型动态分析目标系统的可信度变化趋势,参考先验可信度变化曲线的梯度升降,依序实现可信度在线评估、可信度动态预测和自调节方案选择,完成系统可信度非降的自主调节过程,采用信赖域梯度计算策略解决自调节的最优化问题。Ensuring and strengthening the reliability,security and stability of computer systems are advanced requirement to system service.Based on autonomic computing,a self-tuning model on system dependability is proposed.By dynamically analyzing the change trend of object system dependability,and making reference to the grads fluctuation of accient dependability curve,it implements the on-line dependability evaluation,dependability dynamic prediction and self-tuning scheme selection in turn,which accomplishes the self-tuning function of system dependability.Confidence field grads calculation method is adopted to solve the optimization problem of self-tuning.

关 键 词：自律计算 自调节 可信性 信赖域 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]