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作 者:蔡睿妍[1,2] 张容容 杨力[1] 戚耀文 CAI Rui-yan;ZHANG Rong-rong;YANG Li;QI Yao-wen(Communication and Network Key Laboratory,Dalian University,Dalian 116622,China;Information and Engineering College,Dalian University,Dalian 116622,China;School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China)
机构地区:[1]大连大学通信与网络重点实验室,辽宁大连116622 [2]大连大学信息工程学院,辽宁大连116622 [3]南京理工大学自动化学院,南京210094
出 处:《小型微型计算机系统》2022年第11期2428-2433,共6页Journal of Chinese Computer Systems
基 金:国家自然基金青年基金项目(61901080)资助;辽宁省自然指导计划项目(2019-20-0312)资助.
摘 要:针对空间信息网络具有环境动态性、服务差异性等特征,导致传统的多状态系统可靠性不能准确反映网络的实时状态,从而影响网络的可靠性问题,提出一种基于RBD(Reliability Block Diagrams)的QoS(Quality of Service)可靠性数学模型.该模型使用线性权重法综合考虑链路剩余带宽、节点丢包率多状态以及时延对可靠性的影响,对带宽敏感业务、时延敏感业务和可靠性敏感业务给予不同的权重,计算不同业务背景环境下通信可靠性.仿真结果表明,与不交和法可靠性模型相比,本文所提出的可靠性数学模型计算复杂度更低,实验仿真值更接近本文的理论值,计算准确度得到明显提升,能够较为准确的计算出空间信息网络端到端可靠性.Aiming at the characteristics of spatial information network such as environmental dynamics and service differentiation,which cause the reliability of traditional multi-state systems to not accurately reflect the real-time state of the network,which affects the reliability of the network,a method based on RBD(Reliability Block Diagrams)with QoS(Quality of Service)reliability mathematical model is proposed.The model uses the linear weight method to comprehensively consider the remaining bandwidth of the link,the multi-state of the node packet loss rate,and the impact of delay on the reliability.It gives different weights to bandwidth-sensitive services,delay-sensitive services and reliability-sensitive services,and calculates different services Communication reliability in different background environment.The simulation results show that,compared with the reliability model of the disjoint sum method,the reliability mathematical model proposed in this paper has lower computational complexity,the experimental simulation value is closer to the theoretical value of this paper,the calculation accuracy is significantly improved,and it can be more accurate Calculate the end-to-end reliability of the spatial information network.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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