Survivability model for reconfigurable service carrying network based on the stochastic Petri net

Liang ZHAO; Hong ZOU; Xiao-hui ZHANG

doi:10.11959/j.issn.1000-436x.2016054

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Survivability model for reconfigurable service carrying network based on the stochastic Petri net

Academic paper | 更新时间：2024-06-05

- Survivability model for reconfigurable service carrying network based on the stochastic Petri net
- Journal on Communications Vol. 37, Issue 3, Pages: 71-78(2016)
- 作者机构：
  
  1. 国家数字交换系统工程技术研究中心，河南郑州450002
  2. 国家网络空间安全发展创新中心，河南郑州450000
- 作者简介：
- 基金信息：
  
  The National High Technology Research and Development Program of China (863 Program)(2015AA016102);The National Basic Research Program of China (973 Program)(2012CB315905);The National Science ＆ Technology Pillar Program(2012BAH02B01)
- DOI：10.11959/j.issn.1000-436x.2016054
  CLC： TP393
- Online First：2016-03，
  
  Published：25 March 2016
- 稿件说明：
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Liang ZHAO, Hong ZOU, Xiao-hui ZHANG. Survivability model for reconfigurable service carrying network based on the stochastic Petri net[J]. Journal on Communications, 2016, 37(3): 71-78.
DOI：

Liang ZHAO, Hong ZOU, Xiao-hui ZHANG. Survivability model for reconfigurable service carrying network based on the stochastic Petri net[J]. Journal on Communications, 2016, 37(3): 71-78. DOI： 10.11959/j.issn.1000-436x.2016054.

摘要

针对在描述可重构服务承载网(RSCN)差异化服务需求时无法定量描述其安全属性的问题，提出了一种RSCN可生存性模型。模型基于随机Petri网构建，首先构建RSCN的非马尔可夫随机Petri网模型，再基于最常用的先到先服务(FCFS)故障修复策略得到系统状态可达图，通过引入补充变量建立系统状态概率方程，并最终求解得到该模型。通过仿真实验对该可生存性模型的有效性进行验证，仿真结果表明，理论模型计算结果与仿真结果拟合性较好，可用于描述基于FCFS故障修复策略的RSCN可生存性能。

Abstract

Aiming at the defect that the security attribute of RSCN couldn't be described with measurement

a survivabil-ity model for RSCN was proposed based on the stochastic Petri net.Firstly

a non-Markovian stochastic Petri net for RSCN was proposed

and then the state schematics was educed based on the FCFS fault repair policy subsequently.Fina-ly

the survivability model was concluded based on the probability equation of system state by importing supplementary variable.The model was analyzed and validated for validity through emu ational experiments.The emulational results show that the comparability between the computed-results of model and emulational results is good

and the model can be used to discribe the survivability for RSCN.

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references

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