ML Anthology

Hybrid Model-Based Diagnosis of Web Service Compositions

Zhichun Jia, Rong Chen
AAAI 2013 pp. 1617-1618
doi:10.1609/AAAI.V27I1.8517 /aaai/2013/jia2013aaai-hybrid/

Abstract

Fault diagnosis of web services composition at run time is appealing in creating a consolidated distributed application. For this purpose, we propose a hybrid model-based diagnosis method which exploits service process description or historical execution information to enhance service composition model, and localize faults by comparing the exceptional execution and the correct execution with the maximum likelihood. Experiments are conducted to evaluate the effectiveness of our method in web service composition fault diagnosis.

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Cite

Text

Jia and Chen. "Hybrid Model-Based Diagnosis of Web Service Compositions." AAAI Conference on Artificial Intelligence, 2013. doi:10.1609/AAAI.V27I1.8517

Markdown

[Jia and Chen. "Hybrid Model-Based Diagnosis of Web Service Compositions." AAAI Conference on Artificial Intelligence, 2013.](https://mlanthology.org/aaai/2013/jia2013aaai-hybrid/) doi:10.1609/AAAI.V27I1.8517

BibTeX

@inproceedings{jia2013aaai-hybrid,
  title     = {{Hybrid Model-Based Diagnosis of Web Service Compositions}},
  author    = {Jia, Zhichun and Chen, Rong},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2013},
  pages     = {1617-1618},
  doi       = {10.1609/AAAI.V27I1.8517},
  url       = {https://mlanthology.org/aaai/2013/jia2013aaai-hybrid/}
}