对目前的Skyline查询方法进行分类和综述.首先介绍Skyline查询处理问题产生的背景,然后介绍Skyline查询处理的内存算法,并从带索引和不带索引两个方面对现有的外存Skyline查询处理方法进行分类介绍,在每组算法后,都对该组算法进行了性能评价,然后介绍不同子空间上的多Skyline查询处理模型——SKYCUBE的概念和相关研究.另外,还介绍了不同应用环境下解决Skyline查询处理的策略以及Skyline查询处理问题的扩展,最后归结出Skyline查询处理后续研究的几个方向.
This paper gives a survey on current Skyline queries techniques. It first introduces the background in which Skyline queries appear. Then it presents in-memory algorithms in Skyline query problem. Facing to the situation of large data sets, it further presents the techniques about Skyline query processing by two cases, with or without indices respectively. Evaluations of Skyline query methods are discussed after that. This paper also introduces the novel query model-SKYCUBE which is applied to process multi-Skyline queries in various subspaces and related research based on it. Additionally, it introduces the efficient algorithm to solve Skyline queries in various applicant environment and the extension of the Skyline query processing. Finally, this paper proposes several directions for further research on the topic of Skyline query processing.