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2DCMA: An Effective Maintenance Algorithm of Materialized Views in Peer Data Management Systems

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分类：TP311.13[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术]
作者机构：[1]School of Information, Renmin University of China, Beijing 100872, P.R. China, [2]Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education, Beijing 100872 P.R. China
相关基金：This work is supported by the National Natural Science Foundation of China under Grant Nos. 60503038, 60473069, 60496325 and 60573092. The authors would like to thank Peter Mork for his comments on the extended rule system, and also thank the anonymous referees for their invaluable comments.
相关项目：基于语义映射Peer数据管理系统的关键技术研究

关键词：数据管理系统, 视图维护, 映射, ECA规则, view maintenance, peer data management system, schema mapping, ECA rule

中文摘要：

更改管理为数据集成系统是很重要的。在同伴数据管理系统(PDMS ) 的更改管理因此是一个热研究区域。这篇论文在 PDMS 在看法维护上研究。首先，看法的定义被扩大，同伴看法，局部视图和全局观点根据应用的要求被建议。有二个主要因素在 PDMS 影响显形图。一个人是纲要印射在同伴之间的砰 rechanged，和其它是同伴更新他们的数据。基于要求，这篇论文建议一个算法叫了 2DCMA，它包括二亚算法：数据和定义一致性维护算法，有效地维持看法。为数据一致性维护， Mork “ s 规则为管理更改克和增强软件的使用被扩大。新规则系统能被用来优化实行计划。并且被扩大因为数据一致性维护算法基于新规则系统。而且，一条 ECA 规则为定义一致性维护被采用。最后，广泛的模拟实验在 SPDMS 被进行。Thesimulation 结果证明 2DCMA 算法比 Mork 的有更好的性能“ s 当维持数据一致性时。并且当维持定义一致性时， 2DCMA 算法比集中的看法维护算法的有更好的性能。

英文摘要：

Update management is very important for data integration systems. So update management in peer data management systems （PDMSs） is a hot research area. This paper researches on view maintenance in PDMSs. First, the definition of view is extended and the peer view, local view and global view are proposed according to the requirements of applications. There are two main factors to influence materialized views in PDMSs. One is that schema mappings between peers are changed, and the other is that peers update their data. Based on the requirements, this paper proposes an algorithm called 2DCMA, which includes two sub-algorithms： data and definition consistency maintenance algorithm% to effectively maintain views. For data consistency maintenance, Mork＇s rules are extended for governing the use of updategrams and boosters. The new rule system can be used to optimize the execution plan. And are extended for the data consistency maintenance algorithm is based on the new rule system. Furthermore, an ECA rule is adopted for definition consistency maintenance. Finally, extensive simulation experiments are conducted in SPDMS. The simulation results show that the 2DCMA algorithm has better performance than that of Mork＇s when maintaining data consistency. And the 2DCMA algorithm has better performance than that of centralized view maintenance algorithm when maintaining definition consistency.

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