摘要
为了从故障恢复角度对网络可生存性进行全面有效的量化和分析,对网络可生存性建模和量化方法进行了研究。在给出Heegaard故障恢复模型及其状态转换过程的基础上,提出了一种改进的基于连续时间马尔可夫(CTMC)的网络故障恢复模型。改进的模型增加了故障状态模型,减少了故障恢复状态数。结合网络性能模型,提出了一种改进的基于CTMC的网络可生存性模型,模拟了网络故障后的生存状态转移过程。以丢包率作为量化指标,给出一种基于CTMC网络可生存性模型的网络可生存性量化方法,并简化可生存性计算过程。仿真结果表明,给出的建模与量化方法能够对网络可生存性进行更加全面、准确的量化。
The network survivability modeling and quantification methods were studied for comprehensive and efficient quantification and analysis of the network survivability. The Heegaard＇s failure and recovery model and its state transformation were introduced. Then an improved network failure and recovery model based on Continuous Time Markov Chain （CTMC） was proposed. The improved model includes the failure state model and reduces the number of failure and recovery states. Combined with network performance models, an improved network survivability model based on CTMC was proposed. The survivable state transformation process after failure was simulated. Taking the packet loss state as the quantification factor, a network survivability quantification method based on improved CTMC network survivability model was given, that simplified the calculation of the survivability. Simulation results show that the proposed modeling and quantification methods can quantify the network survivability more comprehensively and accurately.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2013年第5期1395-1400,共6页
Journal of Jilin University:Engineering and Technology Edition
基金
国家自然科学基金项目(61003252)
空军工程大学信息与导航学院博士生创新基金项目(20110501)
关键词
通信技术
IP网络
连续时间马尔可夫
可生存性量化
丢包率
communications technology
IP network
continuous time Markov （CTMC）
survivabilityquantification
packet loss rate
