Research on the joint fault location and cross impact analysis method of information communication network
- https://doi.org/10.2991/icence-16.2016.129How to use a DOI?
- The Information and Communication Network; Fault location; Cross-impact analysis; Alarm Correlation Analysis
The operation monitoring and alarm disposition of Information networks and Communication networks rely on two systems. Different networks will cause different fault alarms when a fault occurs. However, the networks could only recognize its own fault and alarm respectively. They can't feed the alarm information to each other, so they can't find the location of the fault. This paper mainly researches on the joint fault location and cross-impact analysis method of information communication network. Based on information communication protocol principles and innovation of network failure mechanism, this paper invented a new method on detecting joint fault location and cross-impact analysis of information communication network. This paper mainly investigated on three aspects: protocol rule, model design and algorithm analysis. The aim of this paper is to help the information communication network find fault location, and predict the fault, so that it will improve the efficiency of fault handling and increase the cooperation between the two networks.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wenting Zhou AU - Xuemei Li AU - Limin Cui AU - Hongfei Xu AU - Qingsu He AU - Xin Shi PY - 2016/09 DA - 2016/09 TI - Research on the joint fault location and cross impact analysis method of information communication network BT - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016) PB - Atlantis Press SP - 685 EP - 692 SN - 2352-538X UR - https://doi.org/10.2991/icence-16.2016.129 DO - https://doi.org/10.2991/icence-16.2016.129 ID - Zhou2016/09 ER -