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作者机构:Univ Fed Santa Catarina Lab Pesquisa Sistemas Distribuidos LPeSD Florianopolis SC Brazil Univ Fed Santa Catarina Programa Grad Ciencia Comp PPGCC Florianopolis SC Brazil Univ Fed Santa Catarina Florianopolis SC Brazil
出 版 物:《IEEE LATIN AMERICA TRANSACTIONS》 (IEEE. Lat. Am. Trans.)
年 卷 期:2021年第19卷第4期
页 面:604-611页
核心收录:
主 题:IEEE transactions Nanoelectromechanical systems Monitoring Memory Indexes Data integrity Big Data data management graph database integrity constraints data integrity OrientDB
摘 要:The large volume of data that has been produced every day has encouraged the development of new data storage technologies, including graph databases, which have experienced a growing adoption rate in recent years. On the other hand, the graph database management systems that are commercially available nowadays still lack means to ensure the consistency of stored data. In this scenario, this work proposes the extension of a graph database management system in order to add support for four new integrity constraints, allowing the definition of: conditions on node attributes, required edges, type of in/out nodes of an edge and edge cardinality. Support for these constraints was added to a modified version of OrientDB and experimental results show improvements in the performance of applications with integrity constraints.