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A survey of fault localization techniques in computer networks
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“Also, Steinder et al. [21], Wong et al. [24], and Solé et al. [25] described the process of root-cause identification but did not focus on the microservices architecture.”
From Anomaly detection and root-cause identification in microservices: a survey (2026) · cites this paper as [21]
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Cites
(1988) · Cited by 16,582
Artificial intelligence: A modern approach
Nilsson, N. J. (1996) · Artificial Intelligence · doi:10.1016/0004-3702(96)00007-0 · Cited by 10,730
Bhatia, R., Bredon, G. E., Walter, W. L., Rotman, J. J., Murty, M. R., Gilman, J., Walters, P., Golubitsky, M., Karatzas, I., Cohen, H., et al. (1977) · Cited by 8,252
The Grid 2: Blueprint for a New Computing Infrastructure
Foster, I. T., & Kesselman, C. (1998) · Cited by 7,599
Simple Network Management Protocol (SNMP)
Case, J. D., Fedor, M. S., Schoffstall, M. L., & Davin, J. R. (1990) · doi:10.17487/rfc1157 · Cited by 917
Stevens, W. R. (1994) · CERN Document Server (European Organization for Nuclear Research) · Cited by 756
Heuristics for Internet map discovery
Govindan, R., & Tangmunarunkit, H. (2002) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2000.832534 · Cited by 696
Management Information Base for Network Management of TCP/IP-based internets:MIB-II
McCloghrie, K., & Rose, M. (1991) · doi:10.17487/rfc1213 · Cited by 629
Handbook of Perception and Cognition
(1994) · Elsevier eBooks · doi:10.1016/b978-0-08-057169-0.50001-2 · Cited by 577
High speed and robust event correlation
Yemini, S., Kliger, S., Mozes, E., Yemini, Y., & Ohsie, D. (1996) · IEEE Communications Magazine · doi:10.1109/35.492975 · Cited by 360
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Research works printed but not linked: 2
- I. Katzela, Fault diagnosis in telecommunications networks, Ph.D. Thesis, School of Arts and Sciences, Columbia University, New York, 1996
- Proc. IEEE/IFIP Network Operation and Management Symposium, New Orleans, LA, 1998
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Maamoun, K., & Mouftah, H. T. (2012) · International Computer Engineering Conference · doi:10.1109/icenco.2012.6487095 · Cited by 3
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Design and Evaluation of Techniques for Resilience and Survivability of the Routing Node
Wodczak, M. M., Tcholtchev, N., Vidalenc, B., & Li, Y. (2013) · International Journal of Adaptive Resilient and Autonomic Systems · doi:10.4018/ijaras.2013100103 · Cited by 3
Vashist, A., Izmailov, R., Manousakis, K., Chadha, R., Chiang, C. J., Serban, C., & Ali, S. E. (2012) · IEEE/IFIP Network Operations and Management Symposium (NOMS) · doi:10.1109/noms.2012.6212018 · Cited by 3
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Al-karkhi, A. A. S., & Fasli, M. (2019) · Scientific Conference of Computer Sciences (SCCS) · doi:10.1109/sccs.2019.8852598 · Cited by 3
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Yang, Q., Aïtouche, A., & Bouamama, B. O. (2009) · Springer eBooks · doi:10.1007/978-3-642-03454-1_25 · Cited by 3
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Wallin, S., Leijon, V., Nordlander, J., & Bystedt, N. (2011) · International Journal of Network Management · doi:10.1002/nem.800 · Cited by 3
Elhadef, M., Boukerche, A., & Elkadiki, H. (2007) · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · doi:10.1109/ipdps.2007.370589 · Cited by 3
An efficient fault diagnosis technique for home unified service system
Liao, J., Zhang, C., Li, T., & Zhu, X. (2010) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2010.5606287 · Cited by 3
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Lu, C., Xue-song, Q., & Zhang, N. (2006) · International Conference on Communications and Networking in China (ChinaCom) · doi:10.1109/chinacom.2006.344792 · Cited by 3
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Couch, A. L., & Burgess, M. (2010) · Cited by 3
Root Cause Analysis of Large Scale Application Testing Results
Opmanis, R., Ķikusts, P., & Opmanis, M. (2016) · Informatica · doi:10.15388/informatica.2016.113 · Cited by 3
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Analysis of a Network Fault Detection System to Support Decision Making
Vásquez-Bermúdez, M., Hidalgo, J., Avilés-Vera, M. D. P., Sánchez-Cercado, J., & Antón-Cedeño, C. R. (2017) · doi:10.1007/978-3-319-67283-0_6 · Cited by 3
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Brahneborg, D., Afzal, W., Čaušević, A., Sundmark, D., & Björkman, M. (2018) · ACM/SPEC International Conference on Performance Engineering (ICPE) · doi:10.1145/3184407.3184436 · Cited by 3
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Li, J. (2007) · Cited by 3
Interactive Self-Healing for Black-Box Components in Distributed Embedded Environments
Dinkel, M., Stesny, S., & Baumgarten, U. (2007) · Cited by 3
Performance Related Security Modelling and Evaluation of RANETs
Kouvatsos, D. D., & Miskeen, G. M. A. (2012) · Wireless Personal Communications · doi:10.1007/s11277-012-0599-1 · Cited by 2
Distributed diagnosis of network faults and performance problems for tactical military networks
Nodine, M. H., Levin, G. M., Kurachik, K., Woelk, D., Lin, Y.-J., Chadha, R., Chiang, J., Moeltner, K., Kumar, Y., Ali, S., et al. (2010) · IEEE Military Communications Conference (MILCOM) · doi:10.1109/milcom.2010.5680328 · Cited by 2
An Exposition of Performance-Security Trade-offs in RANETs Based on Quantitative Network Models
Miskeen, G. M. A., Kouvatsos, D. D., & Habibzadeh, E. (2013) · Wireless Personal Communications · doi:10.1007/s11277-013-1105-0 · Cited by 2
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Bo, P., Granato, A., Mancuso, M. E., Ciccotelli, C., & Querzoni, L. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-17277-0_6 · Cited by 2
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Batalla, J. M., Janikowski, S., Krawiec, P., Belter, B., Lopatowski, L., & Gutkowski, J. (2013) · International Conference on Telecommunications · Cited by 2
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Li, C., Liu, L., & Xiao-jie, P. (2009) · International Conference on Machine Learning and Cybernetics · doi:10.1109/icmlc.2009.5212305 · Cited by 2
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Li, C., Liu, L., & Pang, X. (2009) · International Conference on Natural Computation (ICNC) · doi:10.1109/icnc.2009.501 · Cited by 2
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Haider, N. A., Nixon, P., & Gaudin, B. (2010) · International Workshop on Dynamic Analysis · doi:10.1145/1868321.1868322 · Cited by 2
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Tang, Y., & Zhang, X. (2009) · International Conference on Information Science and Engineering · doi:10.1109/icise.2009.570 · Cited by 2
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The application of Neural Networks to predicting the root cause of service failures
Harper, R., & Tee, P. (2017) · IFIP/IEEE International Symposium on Integrated Network Management (IM) · doi:10.23919/inm.2017.7987422 · Cited by 2
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Steinhauer, H. J., Helldin, T., Karlsson, A., & Mathiason, G. (2017) · International Telecommunication Networks and Applications Conference (ITNAC) · doi:10.1109/atnac.2017.8215362 · Cited by 2
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Mendoza, C., Dasari, V. R., & McGarry, M. P. (2019) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata47090.2019.9006109 · Cited by 2
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Beszédes, Á. (2019) · Acta Polytechnica Hungarica · doi:10.12700/aph.16.3.2019.3.11 · Cited by 2
System Administration and Micro-Economic Modelling
Burgess, M. (2008) · Elsevier eBooks · doi:10.1016/b978-044452198-9.50029-x · Cited by 2
Active probing based Internet service fault management in uncertain and noisy environment
Chu, L., Zou, S., Cheng, S., & Wang, W. (2008) · Science in China Series F Information Sciences · doi:10.1007/s11432-008-0143-9 · Cited by 2
DRACA: Decision-support for Root Cause Analysis and Change Impact Analysis
Nadi, S. (2009) · UWSpace (University of Waterloo) · Cited by 2
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Popescu, M., Lorenz, P., & Nicod, J. (2009) · ADVCOMP ... the ... International Conference on Advanced Engineering Computing and Applications in Sciences · doi:10.1109/advcomp.2009.38 · Cited by 2
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Lee, B.-J., Lee, D., & Woo, G. (2007) · International Conference on Computer Sciences and Convergence Information Technology · doi:10.1109/iccit.2007.340 · Cited by 2
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Mohamed, A. A. (2010) · UWSpace (University of Waterloo) · Cited by 2
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den Berg, J. J. J. V. (2012) · Research Repository (Delft University of Technology) · Cited by 2
Ukraine, S., Ternavskyi, V. O., Kalbazov, D. Y., Ukraine, S., Lysetskyi, Y. M., & Ukraine, S. (2020) · Mathematical machines and systems · doi:10.34121/1028-9763-2020-3-80-86 · Cited by 1
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Rad, F., Hosseinpour, S. R., & Parvïn, H. (2015) · Cited by 1
Kannan, K., & Bhamidipaty, A. (2013) · ACM International Conference on Computing Frontiers (CF) · doi:10.1145/2482767.2482796 · Cited by 1
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Zhang, C., Liao, J., Li, T., & Zhu, X. (2012) · Science China Information Sciences · doi:10.1007/s11432-012-4567-x · Cited by 1
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Li, Y., Zhao, C., & Yin, Y. (2009) · doi:10.1109/wcse.2009.613 · Cited by 1
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Piao, S., Park, J., & Lee, E. (2007) · Springer eBooks · doi:10.1007/978-3-540-77090-9_15 · Cited by 1
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Piao, S., Park, J., & Lee, E. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-69295-9_46 · Cited by 1
Chaparadza, R., Tcholtchev, N., & Kaldanis, V. (2011) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-642-20931-4_20 · Cited by 1
Intelligent Fault Diagnosis in Computer Networks
Hu, X. (2007) · Cited by 1
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Mesh-mon: a monitoring and management system for wireless mesh networks
Kotz, D. F., & Nanda, S. (2008) · Cited by 1
Volur: Concurrent Edge/Core Route Control in Data Center NetworksPreprint
Zhang, Q., Zhuo, D., Liu, V., Lapukhov, P., Peter, S., Krishnamurthy, A., & Anderson, T. E. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1804.06945 · Cited by 1
Fault localization in Distributed Adaptive Systems
Raj, A. (2016) · Trinity's Access to Research Output (TARA) (Trinity College Dublin) · Cited by 1
Alarm and service monitoring of large scale multi-service mobile networks
Wallin, S. (2009) · DiVA (Luleå University of Technology) · Cited by 1
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Barata, L. M., Sequeira, S., Lopes, E., Inácio, P. R. M., & Freire, M. M. (2026) · Cluster Computing · doi:10.1007/s10586-026-06095-9 · Cited by 4
“Also, Steinder et al. [21], Wong et al. [24], and Solé et al. [25] described the process of root-cause identification but did not focus on the microservices architecture.”
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A Distributed Challenge Detection System for Resilient Networks
Yu, Y. (2012) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-642-29222-4_41
Is cross-domain fault localization feasible?
Fischer, W. D. (2009)
Fraiwan, M. (2008) · doi:10.31274/etd-180810-2606
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Chao, C.-S. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88623-5_7
Analysing network-wide anomalies using dependency graphs and baseline
Amaral, A. A., Zarpel�ão, B. B., Rodrigues, J. J. P. C., Mendes, L. D. S., & Proença, M. L. (2010) · International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Pettersson, C. (2015) · KTH Publication Database DiVA (KTH Royal Institute of Technology)
Domain Names Based on Fault Tree Analysis
Zhang, N., Chi, L. J., & Xu, H. Y. (2014) · Applied Mechanics and Materials · doi:10.4028/www.scientific.net/amm.667.143
Reducing the Inaccuracy Caused by Inappropriate Time Window in Probabilistic Fault Localization
Liao, J., Zhang, C., Li, T., & Zhu, X. (2011) · IEICE Transactions on Communications · doi:10.1587/transcom.e94.b.128
Metadata
- Authors
- Steinder, M. Ł., & Sethi, A. S.
- Affiliations
- University of Delaware (US)
- ORCID
- Sethi, Adarshpal S.
- Venue
- Science of Computer Programming
- Publisher
- Elsevier BV
- Published
- 2004-11
- Volume
- 53
- Issue
- 2
- Pages
- 165-194
- ISSN
- 0167-6423 (ISSN-L)
- OpenAlex
- W2161415693
- Cited by
- 358
- References
- 93
- Citations by year
- 2026: 4 · 2025: 2 · 2024: 6 · 2023: 8 · 2022: 9 · 2021: 18 · 2020: 17 · 2019: 15 · 2018: 20 · 2017: 14 · 2016: 17 · 2015: 21 · 2014: 13 · 2013: 24 · 2012: 25
- FWCI
- 14.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Science of Computer Programming (publishedVersion)
- Funders
- Army Research Laboratory (DAAD 19-01-2-0011)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Mobile Agent-Based Network Management
- Physical Sciences › Computer Science › Computer Networks and Communications › Software System Performance and Reliability
- Physical Sciences › Engineering › Control and Systems Engineering › Engineering and Test Systems
- Keywords
- fault location, network fault management, fault diagnosis, network reliability
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