Flexible Framework for Data Integration and Update Propagation: System Aspect

Yasuhito Asano, Dennis Florian Herr, Yasunori Ishihara, Hiroyuki Kato, Keisuke Nakano, Makoto Onizuka, Yuya Sasaki

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

5 Citations (Scopus)

Abstract

Dejima architecture is a framework for sharing data and controlling update over multiple databases. Each peer autonomously manages its own database and collaborates with other peers through views. In this paper, we describe the design concept and the mechanism of update propagation in the Dejima architecture. We explain how to identify the affected peers for a given update and propagate the update to the affected peers in a single transaction. We also claim that Dejima architecture is a flexible framework that combines both aspects of two former approaches for data integration, the global schema based one and the peer based one.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538677896
DOIs
Publication statusPublished - 2019 Apr 1
Event2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Kyoto, Japan
Duration: 2019 Feb 272019 Mar 2

Publication series

Name2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings

Conference

Conference2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019
Country/TerritoryJapan
CityKyoto
Period19/2/2719/3/2

Keywords

  • bi-directional transformation
  • data integration
  • distributed data management
  • update propagation

ASJC Scopus subject areas

  • Information Systems and Management
  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

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