The embodiment of autonomie computing in the middleware for distributed system with Bayesian networks

Bo Yoon Choi, Kyung Joong Kim, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose an intelligent middleware framework based on the concept of the autonomie computing. Because decisions for optimizing a system are highly dependent on the status of the system in the near future, predictions of the status can boost up the performance of system. Bayesian networks that are frequently used in the domain of user modeling are adopted as a diagnosis engine. Since there are many different kinds of behavioral patterns, it is impossible to model all of them into a single model. A Bayesian network is learned for each typical behavioral pattern. Experimental results show that the proposed method offers a promising way of intelligent middlewares.

Original languageEnglish
Title of host publicationInternational Conference on Intelligent Computing, ICIC 2006, Proceedings
PublisherSpringer Verlag
Pages1047-1052
Number of pages6
ISBN (Print)3540372717, 9783540372714
Publication statusPublished - 2006 Jan 1
EventInternational Conference on Intelligent Computing, ICIC 2006 - Kunming, China
Duration: 2006 Aug 162006 Aug 19

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4113 LNCS - I
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Conference on Intelligent Computing, ICIC 2006
CountryChina
CityKunming
Period06/8/1606/8/19

Fingerprint

Embodiment
Bayesian networks
Middleware
Bayesian Networks
Distributed Systems
Computing
User Modeling
Engines
Engine
Dependent
Prediction
Experimental Results
Model

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Choi, B. Y., Kim, K. J., & Cho, S. B. (2006). The embodiment of autonomie computing in the middleware for distributed system with Bayesian networks. In International Conference on Intelligent Computing, ICIC 2006, Proceedings (pp. 1047-1052). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4113 LNCS - I). Springer Verlag.
Choi, Bo Yoon ; Kim, Kyung Joong ; Cho, Sung Bae. / The embodiment of autonomie computing in the middleware for distributed system with Bayesian networks. International Conference on Intelligent Computing, ICIC 2006, Proceedings. Springer Verlag, 2006. pp. 1047-1052 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{1563f9c530c643df989de167303b9fa6,
title = "The embodiment of autonomie computing in the middleware for distributed system with Bayesian networks",
abstract = "In this paper, we propose an intelligent middleware framework based on the concept of the autonomie computing. Because decisions for optimizing a system are highly dependent on the status of the system in the near future, predictions of the status can boost up the performance of system. Bayesian networks that are frequently used in the domain of user modeling are adopted as a diagnosis engine. Since there are many different kinds of behavioral patterns, it is impossible to model all of them into a single model. A Bayesian network is learned for each typical behavioral pattern. Experimental results show that the proposed method offers a promising way of intelligent middlewares.",
author = "Choi, {Bo Yoon} and Kim, {Kyung Joong} and Cho, {Sung Bae}",
year = "2006",
month = "1",
day = "1",
language = "English",
isbn = "3540372717",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1047--1052",
booktitle = "International Conference on Intelligent Computing, ICIC 2006, Proceedings",
address = "Germany",

}

Choi, BY, Kim, KJ & Cho, SB 2006, The embodiment of autonomie computing in the middleware for distributed system with Bayesian networks. in International Conference on Intelligent Computing, ICIC 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4113 LNCS - I, Springer Verlag, pp. 1047-1052, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, 06/8/16.

The embodiment of autonomie computing in the middleware for distributed system with Bayesian networks. / Choi, Bo Yoon; Kim, Kyung Joong; Cho, Sung Bae.

International Conference on Intelligent Computing, ICIC 2006, Proceedings. Springer Verlag, 2006. p. 1047-1052 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4113 LNCS - I).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - The embodiment of autonomie computing in the middleware for distributed system with Bayesian networks

AU - Choi, Bo Yoon

AU - Kim, Kyung Joong

AU - Cho, Sung Bae

PY - 2006/1/1

Y1 - 2006/1/1

N2 - In this paper, we propose an intelligent middleware framework based on the concept of the autonomie computing. Because decisions for optimizing a system are highly dependent on the status of the system in the near future, predictions of the status can boost up the performance of system. Bayesian networks that are frequently used in the domain of user modeling are adopted as a diagnosis engine. Since there are many different kinds of behavioral patterns, it is impossible to model all of them into a single model. A Bayesian network is learned for each typical behavioral pattern. Experimental results show that the proposed method offers a promising way of intelligent middlewares.

AB - In this paper, we propose an intelligent middleware framework based on the concept of the autonomie computing. Because decisions for optimizing a system are highly dependent on the status of the system in the near future, predictions of the status can boost up the performance of system. Bayesian networks that are frequently used in the domain of user modeling are adopted as a diagnosis engine. Since there are many different kinds of behavioral patterns, it is impossible to model all of them into a single model. A Bayesian network is learned for each typical behavioral pattern. Experimental results show that the proposed method offers a promising way of intelligent middlewares.

UR - http://www.scopus.com/inward/record.url?scp=33749551250&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33749551250&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33749551250

SN - 3540372717

SN - 9783540372714

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

SP - 1047

EP - 1052

BT - International Conference on Intelligent Computing, ICIC 2006, Proceedings

PB - Springer Verlag

ER -

Choi BY, Kim KJ, Cho SB. The embodiment of autonomie computing in the middleware for distributed system with Bayesian networks. In International Conference on Intelligent Computing, ICIC 2006, Proceedings. Springer Verlag. 2006. p. 1047-1052. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).