Problem localization for automated system management in ubiquitous computing

Shunshan Piao; Jeongmin Park; Eunseok Lee

doi:10.1007/978-3-540-77090-9_15

Problem localization for automated system management in ubiquitous computing

Shunshan Piao, Jeongmin Park, Eunseok Lee

Department of Computer Science and Engineering

Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The increasing complexity of Ubiquitous computing leads to the challenges in managing systems in an automated way, which accurately identifies problems and solves them. Many Artificial Intelligent techniques are presented to support problem determination. In this paper, a mechanism for problem localization based on analyzing real-time streams of system performance for automated system management is proposed. We use Bayesian network to construct a compact network and provide both inductive and deductive inferences through probabilistic dependency analysis throughout the network. An algorithm for extracting a certain factors that are highly related to problems is introduced, which supports network learning in diverse domains. The approach enables us to both diagnose problems on the underlying system status and predict potential problems at run time via probabilities propagation throughout network. A demonstration focusing on system reliability in distributed system management is given to prove the availability of proposed mechanism, and thereby achieving self-managing capability.

Original language	English
Title of host publication	Emerging Direction in Embedded and Ubiquitous Computing - EUC 2007 Workshops
Subtitle of host publication	TRUST, WSOC NCUS, UUWSN, USN, ESO, and SECUBIQ, Proceedings
Editors	Mieso K. Denko, Mieso K. Denko, Mieso K. Denko, Chi-Sheng Shih, Chi-Sheng Shih, Chi-Sheng Shih, Kuan-Ching Li, Kuan-Ching Li, Kuan-Ching Li, Shiao-Li Tsao, Shiao-Li Tsao, Shiao-Li Tsao, Qing-An Zeng, Qing-An Zeng, Qing-An Zeng, Soo-Hyun Park, Soo-Hyun Park, Soo-Hyun Park, Young-Bae Ko, Young-Bae Ko, Young-Bae Ko, Shih-Hao Hung, Shih-Hao Hung, Shih-Hao Hung, Jong Hyuk Park, Jong Hyuk Park, Jong Hyuk Park
Publisher	Springer Verlag
Pages	158-168
Number of pages	11
ISBN (Print)	9783540770893
DOIs	https://doi.org/10.1007/978-3-540-77090-9_15
State	Published - 2007
Event	2007 IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2007 Workshops - Taipei, Taiwan, Province of China Duration: 17 Dec 2007 → 20 Dec 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4809 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2007 IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2007 Workshops
Country/Territory	Taiwan, Province of China
City	Taipei
Period	17/12/07 → 20/12/07

Keywords

Fault diagnosis
Probabilistic dependency analysis
Problem localization
Prognosis
Self-managing

Access to Document

10.1007/978-3-540-77090-9_15

Cite this

Piao, S., Park, J., & Lee, E. (2007). Problem localization for automated system management in ubiquitous computing. In M. K. Denko, M. K. Denko, M. K. Denko, C.-S. Shih, C.-S. Shih, C.-S. Shih, K.-C. Li, K.-C. Li, K.-C. Li, S.-L. Tsao, S.-L. Tsao, S.-L. Tsao, Q.-A. Zeng, Q.-A. Zeng, Q.-A. Zeng, S.-H. Park, S.-H. Park, S.-H. Park, Y.-B. Ko, Y.-B. Ko, Y.-B. Ko, S.-H. Hung, S.-H. Hung, S.-H. Hung, J. H. Park, J. H. Park, ... J. H. Park (Eds.), Emerging Direction in Embedded and Ubiquitous Computing - EUC 2007 Workshops: TRUST, WSOC NCUS, UUWSN, USN, ESO, and SECUBIQ, Proceedings (pp. 158-168). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4809 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-77090-9_15

Piao, Shunshan ; Park, Jeongmin ; Lee, Eunseok. / Problem localization for automated system management in ubiquitous computing. Emerging Direction in Embedded and Ubiquitous Computing - EUC 2007 Workshops: TRUST, WSOC NCUS, UUWSN, USN, ESO, and SECUBIQ, Proceedings. editor / Mieso K. Denko ; Mieso K. Denko ; Mieso K. Denko ; Chi-Sheng Shih ; Chi-Sheng Shih ; Chi-Sheng Shih ; Kuan-Ching Li ; Kuan-Ching Li ; Kuan-Ching Li ; Shiao-Li Tsao ; Shiao-Li Tsao ; Shiao-Li Tsao ; Qing-An Zeng ; Qing-An Zeng ; Qing-An Zeng ; Soo-Hyun Park ; Soo-Hyun Park ; Soo-Hyun Park ; Young-Bae Ko ; Young-Bae Ko ; Young-Bae Ko ; Shih-Hao Hung ; Shih-Hao Hung ; Shih-Hao Hung ; Jong Hyuk Park ; Jong Hyuk Park ; Jong Hyuk Park. Springer Verlag, 2007. pp. 158-168 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Problem localization for automated system management in ubiquitous computing",

abstract = "The increasing complexity of Ubiquitous computing leads to the challenges in managing systems in an automated way, which accurately identifies problems and solves them. Many Artificial Intelligent techniques are presented to support problem determination. In this paper, a mechanism for problem localization based on analyzing real-time streams of system performance for automated system management is proposed. We use Bayesian network to construct a compact network and provide both inductive and deductive inferences through probabilistic dependency analysis throughout the network. An algorithm for extracting a certain factors that are highly related to problems is introduced, which supports network learning in diverse domains. The approach enables us to both diagnose problems on the underlying system status and predict potential problems at run time via probabilities propagation throughout network. A demonstration focusing on system reliability in distributed system management is given to prove the availability of proposed mechanism, and thereby achieving self-managing capability.",

keywords = "Fault diagnosis, Probabilistic dependency analysis, Problem localization, Prognosis, Self-managing",

author = "Shunshan Piao and Jeongmin Park and Eunseok Lee",

year = "2007",

doi = "10.1007/978-3-540-77090-9\_15",

language = "English",

isbn = "9783540770893",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "158--168",

editor = "Denko, \{Mieso K.\} and Denko, \{Mieso K.\} and Denko, \{Mieso K.\} and Chi-Sheng Shih and Chi-Sheng Shih and Chi-Sheng Shih and Kuan-Ching Li and Kuan-Ching Li and Kuan-Ching Li and Shiao-Li Tsao and Shiao-Li Tsao and Shiao-Li Tsao and Qing-An Zeng and Qing-An Zeng and Qing-An Zeng and Soo-Hyun Park and Soo-Hyun Park and Soo-Hyun Park and Young-Bae Ko and Young-Bae Ko and Young-Bae Ko and Shih-Hao Hung and Shih-Hao Hung and Shih-Hao Hung and Park, \{Jong Hyuk\} and Park, \{Jong Hyuk\} and Park, \{Jong Hyuk\}",

booktitle = "Emerging Direction in Embedded and Ubiquitous Computing - EUC 2007 Workshops",

note = "2007 IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2007 Workshops ; Conference date: 17-12-2007 Through 20-12-2007",

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Piao, S, Park, J & Lee, E 2007, Problem localization for automated system management in ubiquitous computing. in MK Denko, MK Denko, MK Denko, C-S Shih, C-S Shih, C-S Shih, K-C Li, K-C Li, K-C Li, S-L Tsao, S-L Tsao, S-L Tsao, Q-A Zeng, Q-A Zeng, Q-A Zeng, S-H Park, S-H Park, S-H Park, Y-B Ko, Y-B Ko, Y-B Ko, S-H Hung, S-H Hung, S-H Hung, JH Park, JH Park & JH Park (eds), Emerging Direction in Embedded and Ubiquitous Computing - EUC 2007 Workshops: TRUST, WSOC NCUS, UUWSN, USN, ESO, and SECUBIQ, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4809 LNCS, Springer Verlag, pp. 158-168, 2007 IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2007 Workshops, Taipei, Taiwan, Province of China, 17/12/07. https://doi.org/10.1007/978-3-540-77090-9_15

Problem localization for automated system management in ubiquitous computing. / Piao, Shunshan; Park, Jeongmin; Lee, Eunseok.
Emerging Direction in Embedded and Ubiquitous Computing - EUC 2007 Workshops: TRUST, WSOC NCUS, UUWSN, USN, ESO, and SECUBIQ, Proceedings. ed. / Mieso K. Denko; Mieso K. Denko; Mieso K. Denko; Chi-Sheng Shih; Chi-Sheng Shih; Chi-Sheng Shih; Kuan-Ching Li; Kuan-Ching Li; Kuan-Ching Li; Shiao-Li Tsao; Shiao-Li Tsao; Shiao-Li Tsao; Qing-An Zeng; Qing-An Zeng; Qing-An Zeng; Soo-Hyun Park; Soo-Hyun Park; Soo-Hyun Park; Young-Bae Ko; Young-Bae Ko; Young-Bae Ko; Shih-Hao Hung; Shih-Hao Hung; Shih-Hao Hung; Jong Hyuk Park; Jong Hyuk Park; Jong Hyuk Park. Springer Verlag, 2007. p. 158-168 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4809 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Problem localization for automated system management in ubiquitous computing

AU - Piao, Shunshan

AU - Park, Jeongmin

AU - Lee, Eunseok

PY - 2007

Y1 - 2007

N2 - The increasing complexity of Ubiquitous computing leads to the challenges in managing systems in an automated way, which accurately identifies problems and solves them. Many Artificial Intelligent techniques are presented to support problem determination. In this paper, a mechanism for problem localization based on analyzing real-time streams of system performance for automated system management is proposed. We use Bayesian network to construct a compact network and provide both inductive and deductive inferences through probabilistic dependency analysis throughout the network. An algorithm for extracting a certain factors that are highly related to problems is introduced, which supports network learning in diverse domains. The approach enables us to both diagnose problems on the underlying system status and predict potential problems at run time via probabilities propagation throughout network. A demonstration focusing on system reliability in distributed system management is given to prove the availability of proposed mechanism, and thereby achieving self-managing capability.

AB - The increasing complexity of Ubiquitous computing leads to the challenges in managing systems in an automated way, which accurately identifies problems and solves them. Many Artificial Intelligent techniques are presented to support problem determination. In this paper, a mechanism for problem localization based on analyzing real-time streams of system performance for automated system management is proposed. We use Bayesian network to construct a compact network and provide both inductive and deductive inferences through probabilistic dependency analysis throughout the network. An algorithm for extracting a certain factors that are highly related to problems is introduced, which supports network learning in diverse domains. The approach enables us to both diagnose problems on the underlying system status and predict potential problems at run time via probabilities propagation throughout network. A demonstration focusing on system reliability in distributed system management is given to prove the availability of proposed mechanism, and thereby achieving self-managing capability.

KW - Fault diagnosis

KW - Probabilistic dependency analysis

KW - Problem localization

KW - Prognosis

KW - Self-managing

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DO - 10.1007/978-3-540-77090-9_15

M3 - Conference contribution

AN - SCOPUS:38149004267

SN - 9783540770893

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 158

EP - 168

BT - Emerging Direction in Embedded and Ubiquitous Computing - EUC 2007 Workshops

A2 - Denko, Mieso K.

A2 - Shih, Chi-Sheng

A2 - Li, Kuan-Ching

A2 - Tsao, Shiao-Li

A2 - Zeng, Qing-An

A2 - Park, Soo-Hyun

A2 - Ko, Young-Bae

A2 - Hung, Shih-Hao

A2 - Park, Jong Hyuk

PB - Springer Verlag

T2 - 2007 IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2007 Workshops

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Piao S, Park J, Lee E. Problem localization for automated system management in ubiquitous computing. In Denko MK, Denko MK, Denko MK, Shih CS, Shih CS, Shih CS, Li KC, Li KC, Li KC, Tsao SL, Tsao SL, Tsao SL, Zeng QA, Zeng QA, Zeng QA, Park SH, Park SH, Park SH, Ko YB, Ko YB, Ko YB, Hung SH, Hung SH, Hung SH, Park JH, Park JH, Park JH, editors, Emerging Direction in Embedded and Ubiquitous Computing - EUC 2007 Workshops: TRUST, WSOC NCUS, UUWSN, USN, ESO, and SECUBIQ, Proceedings. Springer Verlag. 2007. p. 158-168. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-77090-9_15

Problem localization for automated system management in ubiquitous computing

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Keywords

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