The Dynamic Symptom Isolation Algorithm for Network Fault Management and Its Evaluation
Summary :
Network traffic contains many symptoms of various network faults. Symptoms of faults aggregate and are manifested in the aggregate traffic characteristics generally observed by a traffic monitor. It is very difficult for a manager or an NMS (Network Management Station) to isolate the symptoms manifested in the aggregate traffic characteristics. Especially, transit networks, like a backbone network, deal with many types of traffic. So, symptom isolation must be efficient. In this paper, we propose a powerful algorithm for symptom isolation. This algorithm is based on the popular SNMP-based RMON technology. Using dynamically constructed aggregate, fresh symptoms can be isolated efficiently. We apply the algorithm to two operational transit networks which connects some LANs and WANs, and evaluate it using trace data collected from these networks. The results show a significant improvement in the fault management capability and accuracy. Furthermore, the characteristics of fault symptoms and the various factors for effective system configuration are discussed.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E81-B No.12 pp.2471-2480
- Publication Date
- 1998/12/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on the Latest Development of Telecommunication Research)
- Category
- Network Design, Operation, and Management
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Takumi MORI, Kohei OHTA, Nei KATO, Hideaki SONE, Glenn MANSFIELD, Yoshiaki NEMOTO, "The Dynamic Symptom Isolation Algorithm for Network Fault Management and Its Evaluation" in IEICE TRANSACTIONS on Communications,
vol. E81-B, no. 12, pp. 2471-2480, December 1998, doi: .
Abstract: Network traffic contains many symptoms of various network faults. Symptoms of faults aggregate and are manifested in the aggregate traffic characteristics generally observed by a traffic monitor. It is very difficult for a manager or an NMS (Network Management Station) to isolate the symptoms manifested in the aggregate traffic characteristics. Especially, transit networks, like a backbone network, deal with many types of traffic. So, symptom isolation must be efficient. In this paper, we propose a powerful algorithm for symptom isolation. This algorithm is based on the popular SNMP-based RMON technology. Using dynamically constructed aggregate, fresh symptoms can be isolated efficiently. We apply the algorithm to two operational transit networks which connects some LANs and WANs, and evaluate it using trace data collected from these networks. The results show a significant improvement in the fault management capability and accuracy. Furthermore, the characteristics of fault symptoms and the various factors for effective system configuration are discussed.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e81-b_12_2471/_p
Copy
@ARTICLE{e81-b_12_2471,
author={Takumi MORI, Kohei OHTA, Nei KATO, Hideaki SONE, Glenn MANSFIELD, Yoshiaki NEMOTO, },
journal={IEICE TRANSACTIONS on Communications},
title={The Dynamic Symptom Isolation Algorithm for Network Fault Management and Its Evaluation},
year={1998},
volume={E81-B},
number={12},
pages={2471-2480},
abstract={Network traffic contains many symptoms of various network faults. Symptoms of faults aggregate and are manifested in the aggregate traffic characteristics generally observed by a traffic monitor. It is very difficult for a manager or an NMS (Network Management Station) to isolate the symptoms manifested in the aggregate traffic characteristics. Especially, transit networks, like a backbone network, deal with many types of traffic. So, symptom isolation must be efficient. In this paper, we propose a powerful algorithm for symptom isolation. This algorithm is based on the popular SNMP-based RMON technology. Using dynamically constructed aggregate, fresh symptoms can be isolated efficiently. We apply the algorithm to two operational transit networks which connects some LANs and WANs, and evaluate it using trace data collected from these networks. The results show a significant improvement in the fault management capability and accuracy. Furthermore, the characteristics of fault symptoms and the various factors for effective system configuration are discussed.},
keywords={},
doi={},
ISSN={},
month={December},}
Copy
TY - JOUR
TI - The Dynamic Symptom Isolation Algorithm for Network Fault Management and Its Evaluation
T2 - IEICE TRANSACTIONS on Communications
SP - 2471
EP - 2480
AU - Takumi MORI
AU - Kohei OHTA
AU - Nei KATO
AU - Hideaki SONE
AU - Glenn MANSFIELD
AU - Yoshiaki NEMOTO
PY - 1998
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E81-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 1998
AB - Network traffic contains many symptoms of various network faults. Symptoms of faults aggregate and are manifested in the aggregate traffic characteristics generally observed by a traffic monitor. It is very difficult for a manager or an NMS (Network Management Station) to isolate the symptoms manifested in the aggregate traffic characteristics. Especially, transit networks, like a backbone network, deal with many types of traffic. So, symptom isolation must be efficient. In this paper, we propose a powerful algorithm for symptom isolation. This algorithm is based on the popular SNMP-based RMON technology. Using dynamically constructed aggregate, fresh symptoms can be isolated efficiently. We apply the algorithm to two operational transit networks which connects some LANs and WANs, and evaluate it using trace data collected from these networks. The results show a significant improvement in the fault management capability and accuracy. Furthermore, the characteristics of fault symptoms and the various factors for effective system configuration are discussed.
ER -
English
