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Towards Guaranteeing Global Consistency for Peer-Based Data Integration Architecture

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Software Foundations for Data Interoperability and Large Scale Graph Data Analytics (SFDI 2020, LSGDA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1281))

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Abstract

Dejima is a peer-based data integration architecture that peers share their data in updatable views. Since peers in Dejima are distributedly deployed to manage their database, update in a peer may propagate to other peers. A transaction management method is necessary to guarantee global consistency. This paper analyzes the characteristics of Dejima from the perspective of transaction management and proposes a transaction management method for efficiency and autonomy of peers.

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Notes

  1. 1.

    The source code is available at https://github.com/ekayim/dejima-prototype.

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Authors and Affiliations

  1. Osaka University, 1-1 Yamadaoka, Suita-shi, Osaka, 565-0871, Japan

    Kota Miyake, Yusuke Wakuta, Yuya Sasaki & Makoto Onizuka

Authors
  1. Kota Miyake
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  2. Yusuke Wakuta
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  3. Yuya Sasaki
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  4. Makoto Onizuka
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Corresponding author

Correspondence to Kota Miyake .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Sydney, NSW, Australia

    Lu Qin

  2. The University of New South Wales, Sydney, NSW, Australia

    Wenjie Zhang

  3. University of Technology Sydney, Sydney, NSW, Australia

    Ying Zhang

  4. The University of New South Wales, Sydney, NSW, Australia

    You Peng

  5. National Institute of Informatics, Tokyo, Japan

    Hiroyuki Kato

  6. The University of New South Wales, Sydney, NSW, Australia

    Wei Wang

  7. Osaka University, Osaka, Japan

    Chuan Xiao

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Miyake, K., Wakuta, Y., Sasaki, Y., Onizuka, M. (2020). Towards Guaranteeing Global Consistency for Peer-Based Data Integration Architecture. In: Qin, L., et al. Software Foundations for Data Interoperability and Large Scale Graph Data Analytics. SFDI LSGDA 2020 2020. Communications in Computer and Information Science, vol 1281. Springer, Cham. https://doi.org/10.1007/978-3-030-61133-0_15

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  • DOI: https://doi.org/10.1007/978-3-030-61133-0_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61132-3

  • Online ISBN: 978-3-030-61133-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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