Proceedings of the 2012 National Conference on Information Technology and Computer Science

A Distributed Network Fault Diagnosis Platform based on Web Services

Authors
Bo LI, Guo-min Zhang, Xiang-lin Wei, Ming Chen, Bing Li
Corresponding Author
Bo LI
Available Online November 2012.
DOI
https://doi.org/10.2991/citcs.2012.84How to use a DOI?
Keywords
network fault diagnosis; distributed; web services; platform
Abstract
Large-scale network services bring great challenges to fault diagnosis, which include the unpredictability of the fault, the difficulty of collecting the fault information, high cost and technical complexity of diagnosis system deployment. To address these challenges, a web services-based distributed network fault diagnosis platform is built in this paper, which makes full use of the existing regional network management systems' resources. The platform integrates passive diagnosis and active probing techniques. Therefore, it can obtain more network information, which provides sufficient evidence for passive fault diagnosis, and can select optimal active actions to enhance the passive diagnosis whenever necessary. The experimental results show that our platform can efficiently and accurately localize the root causes of faults.
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Proceedings
2012 National Conference on Information Technology and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/citcs.2012.84How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Bo LI
AU  - Guo-min Zhang
AU  - Xiang-lin Wei
AU  - Ming Chen
AU  - Bing Li
PY  - 2012/11
DA  - 2012/11
TI  - A Distributed Network Fault Diagnosis Platform based on Web Services
BT  - 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 319
EP  - 323
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.84
DO  - https://doi.org/10.2991/citcs.2012.84
ID  - LI2012/11
ER  -