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International Conference on Advanced Data Mining and Applications

ADMA 2016: Advanced Data Mining and Applications pp 95–110Cite as

Interrelationships of Service Orchestrations

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10086))

Abstract

Despite topic models have been successfully used to reveal hidden orchestration patterns from service logs, the potential uses of their interrelationships have yet to be explored. In particular, the popularity of an orchestration pattern is a leading indicator of other orchestrations in many situations. Indeed, the research in capturing relationships by induced networks has been active in some areas, such as in spatial problems. In this paper, we propose a structure discovery process to reveal relationship networks among service orchestrations. In practice, more robust business logic can be formulated by having a good understanding of these relationships that leads to efficiency gains. Our proposed interrelationship discovery process is performed by a set of optimizations with adaptive regularization. These features make our proposed solution efficient and self-adjusted to the dynamics in service environments. The results from our extensive experiments on service consumption logs confirm the effectiveness of our proposed solution.

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Author information

Authors and Affiliations

  1. University of New South Wales, Sydney, Australia

    Victor W. Chu & Raymond K. Wong

  2. Data61, CSIRO, Sydney, Australia

    Victor W. Chu, Raymond K. Wong & Fang Chen

  3. Data61, CSIRO, Hobart, Australia

    Chi-Hung Chi

Authors
  1. Victor W. Chu
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  2. Raymond K. Wong
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  3. Fang Chen
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  4. Chi-Hung Chi
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Corresponding author

Correspondence to Victor W. Chu .

Editor information

Editors and Affiliations

  1. University of Technology , Sydney, New South Wales, Australia

    Jinyan Li

  2. University of Queensland , Brisbane, Australia

    Xue Li

  3. Beijing Institute of Technology , Beijing, China

    Shuliang Wang

  4. University of Western Australia , Crawley, West Australia, Australia

    Jianxin Li

  5. University of Adelaide , Adelaide, South Australia, Australia

    Quan Z. Sheng

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© 2016 Springer International Publishing AG

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Chu, V.W., Wong, R.K., Chen, F., Chi, CH. (2016). Interrelationships of Service Orchestrations. In: Li, J., Li, X., Wang, S., Li, J., Sheng, Q. (eds) Advanced Data Mining and Applications. ADMA 2016. Lecture Notes in Computer Science(), vol 10086. Springer, Cham. https://doi.org/10.1007/978-3-319-49586-6_7

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  • DOI: https://doi.org/10.1007/978-3-319-49586-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49585-9

  • Online ISBN: 978-3-319-49586-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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