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Performance study of the index structures in audited environment

机译:审计环境下指标结构的绩效研究

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Development in information systems has brought the need for universal access to data stored in computer systems using database approach. It should ensure quality, reliability, performance with emphasis on rising data amount. The first part of the paper deals with the index structure definition, index access methods, which delimit access type. However, another significant factor is the data security. The second part of the paper deals with the audit as one element of complex activities. Standard database auditing does not influence defined index, but can generate too much data regardless the query type. Fine-grained auditing is new opportunity based on attribute granularity. Experiment section highlights limitations of index access methods, when adding new audit policy. As we can see, new audit characteristic definition can significantly degrade performance due to adding new conditions to the query consequencing sequential table data processing.
机译:信息系统的发展带来了使用数据库方法普遍访问存储在计算机系统中的数据的需求。它应确保质量,可靠性,性能,并重点关注不断增加的数据量。本文的第一部分讨论索引结构定义,索引访问方法,这些方法定义了访问类型。但是,另一个重要因素是数据安全性。本文的第二部分将审计作为复杂活动的要素之一。标准数据库审核不会影响已定义的索引,但是无论查询类型如何,都会生成太多数据。细粒度审核是基于属性粒度的新机会。实验部分重点介绍了在添加新的审核策略时索引访问方法的局限性。正如我们所看到的,由于为查询添加了新条件,从而导致顺序表数据处理,新的审计特征定义会显着降低性能。

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