Reliability Analysis of University Network Operation Based on Multi-level Evaluation Model

doi:10.3969/j.issn.1006-2475.2019.06.017

Abstract

Abstract: University network operation is easy to be disturbed. Reliability analysis has obvious advantages in anti-interference of university network operation. However, traditional reliability analysis is confronted with the problem of signal distortion when it is applied to anti-interference of university network operation. Aiming at this problem, this paper proposes a reliability analysis method of university network operation which integrates multi-level evaluation model. This method is based on SNMP protocol to detect network topology, and adopts active and passive measurement technology to measure and calculate network reliability. Based on the analysis of intelligent computing and network reliability, the influencing factors of network reliability are analyzed, and the strategy of improving computer network reliability based on intelligent computing is proposed. The theoretical analysis and simulation results show that the proposed method can effectively solve the problem of network signal distortion in reliability analysis.

Key words: university network, multi-level evaluation model, average method, reliability analysis

CLC Number:

U491.17

WANG Guan-xiang, LI Yi-yong, XIA Ya-dong, WANG Zhi-xian. Reliability Analysis of University Network Operation Based on Multi-level Evaluation Model[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2019.06.017.

References

［1］ PAZOUKI S, MOHSENZADEH A, ARDALAN S, et al. Optimal place, size, and operation of combined heat and power in multi carrier energy networks considering network reliability, power loss, and voltage profile［J］. IET Generation Transmission & Distribution, 2016,10(7):1615-1621.
［2］ MARTINS M R, MATURANA M C. Application of Bayesian belief networks to the human reliability analysis of an oil tanker operation focusing on collision accidents［J］. Reliability Engineering & System Safety, 2013,110(2):89-109.
［3］ PADMAVATHY N, CHATURVEDI S K. Evaluation of mobile ad hoc network reliability using propagation-based link reliability model［J］. Reliability Engineering & System Safety, 2013,115(7):1-9.
［4］ KIM D, GIL J M. Reliable and fault-tolerant software-defined network operations scheme for remote 3D printing［J］. Journal of Electronic Materials, 2015,44(3):804-814.
［5］ POPOVI〖XCC.TIF,JZ〗 Z, KNEZEVI〖XCC.TIF,JZ〗 S, BRBAKLI〖XCC.TIF,JZ〗 B. Optimal reliability improvement strategy in radial distribution networks with island operation of distributed generation［J］. IET Generation Transmission & Distribution, 2018,12(1):78-87.
［6］ DADKHAH A, VAHIDI B. On the network economic, technical and reliability characteristics improvement through demand-response implementation considering consumers’ behaviour［J］. IET Generation Transmission & Distribution, 2018,12(2):431-440.
［7］ COSSI A M, SILVA L G W, LAZARO R A R, et al. Primary power distribution systems planning taking into account reliability, operation and expansion costs［J］. IET Generation Transmission & Distribution, 2012,6(3):274-284.
［8］ SULTANA B, MUSTAFA M W, SULTANA U, et al. Review on reliability improvement and power loss reduction in distribution system via network reconfiguration［J］. Renewable & Sustainable Energy Reviews, 2016,66(8):297-310.
［9］ BISTOUNI F, JAHANSHAHI M. Formulating broadcast reliability equations on multilayer multistage interconnection networks［J］. Journal of Supercomputing, 2015,71(11):4019-4041.
［10］LARANJEIRA L A, RODRIGUES G N. Border effect analysis for reliability assurance and continuous connectivity of wireless sensor networks in the presence of sensor failures［J］. IEEE Transactions on Wireless Communications, 2014,13(8):4232-4246.
［11］张怡,杨琼,唐成凯. 基于有色载入的GPS自适应调零天线抗干扰算法［J］. 西北工业大学学报, 2015,33(5):874-878.
［12］初明阳. 自适应调零天线卫星定位抗干扰算法仿真研究［J］. 航空兵器, 2014(3):44-47.
［13］任鹏. 传感网络信道奇异类信号检测研究［J］. 计算机仿真, 2016,33(4):344-347.
［14］胡晓芳. 网络随机数字信号多通道同步传输仿真研究［J］. 计算机仿真, 2017(12):187-190.
［15］张迎,宁玉文,刘健,等. 基于ITIL的高校网络安全运行管理模式设计——以第四军医大学校园网管理为例［J］. 计算机安全, 2014(9):26-31.
［16］蒲宝卿. 高校校园计算机网络可靠性研究［J］. 甘肃高师学报, 2013,18(5):84-87.
［17］刘轩,潘竹生,钟发荣,等. 工程网络可靠性分析的网络简化方法［J］. 山东大学学报(工学版), 2015,45(2):27-32.
［18］郑洋. 融合多层次模糊评价模型的高校计算机网络技术专业实践教学体系构建［J］. 保山学院学报, 2018,37(5):80-84.
［19］吴海燕. 基于离散Hopfield神经网络的高校创业能力评价［J］. 物流工程与管理, 2018(4):194-196.
［20］范岩,马立平. 优化BP神经网络的高校教学质量评价模型［J］. 统计与决策, 2018,34(2):80-82.
［21］范新刚. 高职网络技术专业实践教学体系构建——以广州城建职业学院计算机网络技术专业为例［J］. 重庆电子工程职业学院学报, 2015,24(6):144-147.
［22］蔡天诚,朱水丽,陈志荣. 多层次模糊综合判定法的大学生择业模型研究［J］. 宁波工程学院学报, 2018,30(3):62-67.
［23］万建华,蔡丽霞,张振林. 多层次模糊综合评价法在某地方高校目标管理考核中的应用［J］. 湖北工程学院学报, 2017,37(37):97-101.
［24］宋颖达,刘建国. 灰色评价模型在高校体育教师绩效评价体系中的应用［J］. 南昌大学学报(理科版), 2016,40(6):553-556.
［25］乔红丽. 基于多层次体系的高校图书馆学科服务质量评价研究［J］. 中国高校科技, 2017(S1):34-35.

[1]	RONG Jia;JIANG Shang. Application of Common Cause Failure in Reliability Analysis of Underground Railway Interlocking System [J]. Computer and Modernization, 2010, 1(3): 176-4.
[2]	AO Zhi-gang;WU Hai-ping;AO Wei-qing;WANG Guan. Communication Ability Analysis of a Multi-Hop Double-Loop Networks Under 1-2 Node Failure Conditions [J]. Computer and Modernization, 2010, 1(01): 84-86.