摘要
提出了一种基于自主计算思想的网络故障诊断系统的自愈模型,并将Petri网和有限状态自动机理论相结合,对自愈策略的实施过程进行建模。本系统将网络故障诊断和性能保持结合起来,提供网络状态数据的采集、分析、存储和响应功能,同时兼顾应用级和系统级的自愈,减少了自愈时间,降低了自愈成本和周期性应用级自愈策略预测失败的风险,提高了诊断系统自身的可靠性,从而实现对网络计算的全面管理。在该策略中,自愈功能作为自愈对象的函数可以随着网络中各种服务和应用的变化而构造,使得自愈管理成为动态变化的网络成分。实验表明,利用该方法实现的系统在进行网络故障诊断时可以取得较好的效果。
An self-healing model of network troubleshooting system based on automatic computing theory is put forward.The model of software working process is built by Petri net and finite-state automata.Combining the network fault diagnosis with the function maintenance,the system provides the functions such as gathering of data,analysis,storing and response.At the same time,it takes into account the application-level and system-level rejuvenation simultaneously,which make it possible to consume less time and lower cost,to reduce the risk of failure to predict,to enhance the system reliability and availability,thus the network could be completely managed.As the function of anti-decrepitude objects,anti-decrepitude functions will be dynamically constructed along with the development of variety of services and applications in the network.The experiment system implemented by this method shows a good diagnostic ability.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2005年第z1期764-766,共3页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(60273035)
国防科工委应用基础基金(420010701)
2005年南京理工大学科研发展基金资助项目
关键词
自愈策略
自主计算
故障诊断
Rejuvenation policy Autonomic computing Fault diagnosis