Module Reliability in Various Run-Time Scenario of Network Management System

Wu Zhen; Meng Luo-ming

doi:10.3724/SP.J.1146.2006.01566

Volume 29 Issue 11

Jan. 2011

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(11): 2541-2544

Wu Zhen, Meng Luo-ming. Module Reliability in Various Run-Time Scenario of Network Management System[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2541-2544. doi: 10.3724/SP.J.1146.2006.01566

Citation:

Wu Zhen, Meng Luo-ming. Module Reliability in Various Run-Time Scenario of Network Management System[J]. Journal of Electronics & Information Technology, 2007, 29(11): 2541-2544. doi: 10.3724/SP.J.1146.2006.01566

Citation:

PDF( 305 KB)

Module Reliability in Various Run-Time Scenario of Network Management System

doi: 10.3724/SP.J.1146.2006.01566 cstr: 32379.14.SP.J.1146.2006.01566

Received Date: 2006-10-17
Rev Recd Date: 2007-03-26
Publish Date: 2007-11-19

Abstract

Abstract

A new method for analyzing module reliability of Network Management System(NMS) in operational phase is proposed to resolve the problem existed in the domain of current NMS reliability evaluation. Firstly, some methods, e.g. periodic survival reports and module redundancy, which is used in NMS are assembled into three major run-time scenarios; Secondly, three scenario are modeled using Markov Regenerative Stochastic Petri Nets (MRSPN), and the effect which various scenario impose on module reliability is analyzed. Finally, some important reliability index, such as module availability, is concluded with applying the models. Numerical examples show that module reliability depend on both quality itself and run-time scenarios. Suitable run-time scenario can be applied in various modules according to the requirement of NMS.

FullText(HTML)

References(1)

References

孟洛明，亓峰.现代网络管理技术[M]. 北京：北京邮电大学出版社，1999: 11-14. eng Luo-ming and Qi Feng. Modern Network Management Technology[M]. Beijing: Press of Beijing University of Posts and Telecommunications, 1999: 11-14.[2]熊翱，孟洛明. 基于容错机制高可靠性网管系统的研究. 北京邮电大学学报, 2006, 29(2): 94-97. iong Ao and Meng Luo-ming. Study of high reliability network management system based on fault-tolerance Mechanism. Journal of Beijing University of Posts and Telecommunications, 2006, 29(2): 94-97.[3]Musa J D. Software Reliability Engineering[M]. NewYork: McGraw Hill, 1999: 174-186.[4]Yacoub S, et al.. A scenario-based reliability analysis approach for component-based software. IEEE Trans. on Reliability, 2004, 54(3): 467-475.[5]Dai Yuan-Shun, Xie Min, and Kim-Leng Poh. Modeling and analysis of correlated software failures of multiple types[J].IEEE Trans. on Reliability.2005, 54(1):100-104[6]蔡开元，白成刚，钟小军. 构件软件系统的可靠性评估模型简介. 西安交通大学学报，2003, 37(6): 551-554. ai Kai-yuan, Bai Cheng-gang, and Zhong Xiao-jun. Introduction to reliability models of component-based software system. Journal of Xian Jiao Tong University, 2003, 37(6): 551-554.[7]Gokhale S S and Lyu M R. A Simulation approach to structure-based software reliability analysis[J].IEEE Trans. on Software Engineering.2005, 31(8):643-656[8]林闯，郑波. 含有非马尔可夫过程的排队Petri网模型和性能分析. 电子学报, 2003, 31(2): 167-169. in Chuang and Zheng Bo. A model of queuing Petri net including non-markovian process and performance analysis. Acta Electronica Sinic, 2003, 31(2): 167-169.[9]Andras Horva th and Miklos Telek. Time domain analysis of non-markovian stochastic Petri nets with PRI transitions[J].IEEE Trans.on Software Engineering.2002, 28(10):933-939

Relative Articles

Supplements(0)

Cited By

Proportional views