Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (25): 93-96.

• 网络、通信、安全 • Previous Articles     Next Articles

System dependability self-tuning model based on autonomic computing

WU Qingtao,ZHENG Ruijuan,ZHANG Mingchuan,WEI Wangyang,LI Guanfeng   

  1. Electronic & Information Engineering College,Henan University of Science and Technology,Luoyang,Henan 471003,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2011-09-01 Published:2011-09-01

基于自律计算的系统可信性自调节模型

吴庆涛,郑瑞娟,张明川,魏汪洋,李冠峰   

  1. 河南科技大学 电子信息工程学院,河南 洛阳 471003

Abstract: 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.

Key words: autonomic computing, self-tuning, dependability, confidence field

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。

关键词: 自律计算, 自调节, 可信性, 信赖域