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基于Skyline服务的Top-k选择方法

TOP-K SELECTION METHOD BASED ON SKYLINE SERVICE

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【作者】 杨莉张文生许国艳

【Author】 Yang Li;Zhang Wensheng;Xu Guoyan;Information Center,Ho Hai University;East China Yixing Pumped Storage Corporation;College of Computer and Information,Hohai University;

【机构】 河海大学信息中心华东宜兴抽水蓄能有限公司河海大学计算机与信息学院

【摘要】 为缩小Skyline服务集,提高服务选择的效率,提出一种Skyline服务Top-k选择方法。首先,用数据推理的方式为Skyline服务的Top-k选择提供理论依据,并提出Skyline服务Top-k选择的相关命题;然后,基于这些命题,提出Skyline服务Top-k选择算法,该算法可以得到被选择可能性最大的Top-k Skyline服务集;最后,通过实验证明,该方法能有效降低服务选择的时间,而不影响服务组合的最终结果。

【Abstract】 A Top-k selection algorithm based on Skyline service is proposed to decrease the size of Skyline services set and increase the efficiency of service selection. Firstly,the theoretical foundation of the proposed algorithm is provided by mathematical reasoning,and then some related propositions are presented; Secondly,with the proposed propositions,the Skyline service Top-k selection algorithm is put forward,which is able to obtain the Top-k Skyline service set which was most likely to be selected; Finally,the experiment is conducted to prove that the proposed algorithm is useful to decrease service selection time with no impact on service composition.

【关键词】 Skyline服务Top-k服务选择
【Key words】 Skyline serviceTop-kService selection
  • 【文献出处】 计算机应用与软件 ,Computer Applications and Software , 编辑部邮箱 ,2016年11期
  • 【分类号】TP393.09
  • 【被引频次】5
  • 【下载频次】92
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