Flexible Framework for Data Integration and Update Propagation: System Aspect

Flexible Framework for Data Integration and Update Propagation: System Aspect
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DOI:
10.1109/bigcomp.2019.8679236
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发表时间:
2019-02
期刊:
2019 IEEE International Conference on Big Data and Smart Computing (BigComp)
影响因子:
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通讯作者:
Yasuhito Asano;Dennis-Florian Herr;Yasunori Ishihara;H. Kato;Keisuke Nakano;Makoto Onizuka;Yuya Sasaki
Yasuhito Asano;Dennis-Florian Herr;Yasunori Ishihara;H. Kato;Keisuke Nakano;Makoto Onizuka;Yuya Sasaki
中科院分区:
其他
文献类型:
--
作者:
Yasuhito Asano;Dennis-Florian Herr;Yasunori Ishihara;H. Kato;Keisuke Nakano;Makoto Onizuka;Yuya Sasaki

文献摘要

相似文献

Dejima体系结构是用于共享数据和控制多个数据库更新的框架。每个同行都自主管理自己的数据库,并通过视图与其他同行合作。在本文中,我们描述了Dejima体系结构中的设计概念和更新传播的机制。我们解释了如何识别给定更新的受影响的同龄人,并将更新传播到单个事务中受影响的同行。 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.
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.