Robustness Analysis of Telecommunications Customer Service System

Article Preview

Abstract:

The robustness of customer service system for telecommunications industry is researched. To overcome existing robustness defect of node failure in current network robust research model, node efficiency assessment of robustness is employed, generalized evolution theory is taken into, and changes process of telecommunications customer service systems is simulated. In analysis of conditions in different interference, robustness performance is presented. Simulation results show that the method considering the telecommunications industry to build robust customer service system is feasible and effective for large, complex networks, which has a good capability of computing power.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4179-4182

Citation:

Online since:

July 2014

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Dodds S P,Watts D J,Sabel F C. Information exchange and robustness of organizational networks[J]. Proceedings of the National Academy of Sciences, 2003, 100(21): 12516-12521.

DOI: 10.1073/pnas.1534702100

Google Scholar

[2] Kwon Y K,Cho K H. Analysis of feedback loops and robustness in network evolution based an Booleam model[J]. BMC Bioinformatics,2007,8(9):430-48.

Google Scholar

[3] ASH J,NEWTHD. Optimizing complex networks for resilience against cascading failure[J]. Physical A:Statistical Mechanics and its Application, 2007, 380(7): 673-683.

DOI: 10.1016/j.physa.2006.12.058

Google Scholar

[4] Newman M E J,Barabasi A L,Watts D J. The Structure and Dynamic of Networks[M]. Princeton, NJ,USA:Princeton University Press,2006. 477.

Google Scholar

[5] Nafday A M. System safety performance metrics for skeletal structures [J]. Journal of Structural Engineering, 2008, 134(3): 499―504.

DOI: 10.1061/(asce)0733-9445(2008)134:3(499)

Google Scholar

[6] Song Minghong, Yu Huafeng, Chen Haiyan. Application of Improved Quantum Evolutionary Algorithm in Computer Network's Routing Choice[J]. Bulletin of Science and Technology, 2014, 30(1): 170-173.

Google Scholar