Dissemination of heterogeneous XML data in publish/subscibe systems

Y. Ni, C. Chan
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引用次数: 3

Abstract

The publish-subscribe paradigm is an effective approach for data publishers to asynchronously disseminate relevant data to a large number of data subscribers. A lot of recent research has focused on extending this paradigm to support content-based delivery of XML data using more expressive XML-based subscription specifications that allow constraints on both data contents as well as structure. However, due to the heterogeneous data schemas used by different data publishers even for data in the same domain, an important challenge is how to efficiently and effectively disseminate relevant data to subscribers whose subscriptions might be specified based on schemas that are different from those used by the data publishers. In this paper, we examine the options to resolve this schema heterogeneity problem in XML data dissemination, and propose a novel paradigm that is based on data rewriting. Our experimental results demonstrate the effectiveness of the data rewriting paradigm and identifies the tradeoffs of the various approaches.
发布/订阅系统中异构XML数据的传播
发布-订阅范式是数据发布者向大量数据订阅者异步传播相关数据的有效方法。最近的许多研究都集中在扩展这种范式,使用更具表现力的基于XML的订阅规范(允许对数据内容和结构进行约束)来支持基于内容的XML数据交付。然而,由于不同的数据发布者甚至对同一域中的数据使用异构的数据模式,因此一个重要的挑战是如何高效和有效地将相关数据传播给订阅者,订阅者的订阅可能是基于与数据发布者使用的模式不同的模式指定的。在本文中,我们研究了解决XML数据传播中的模式异构问题的选项,并提出了一种基于数据重写的新范式。我们的实验结果证明了数据重写范式的有效性,并确定了各种方法的权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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