摘要
论文利用Web服务动态Qos属性的统计情况得到各Qos属性的概率密度函数,然后利用概率密度函数研究各Web服务成为skyline服务的概率,用概率大小反映Web服务支配力的大小,同时以概率降序排列建立Web服务的索引来改进k-支配skyline算法,最终得到Web服务选择动态Qos情况下的概率索引算法。
This paper uses the statistic situation of the Web services＇ dynamic Qos attribute to get the probability distribution of the Qos attribute,and then searches the probability of each Web service to be a skyline service by use the distribution. The probability to reflect the dominant ability of each Web service is used,and a index of Web service by the descending order of the probability to improve the k-dominant skyline algorithm is established. A probability index based algorithm in dynamic Qos situation is achieved when choosing Web services finally.
作者
何诚
欧阳中辉
司维超
HE Cheng;OUYANG Zhonghui;SI Weichao(Naval Aeronautical Engineering Institute,Yantai 264001)
出处
《计算机与数字工程》
2018年第11期2230-2233,2314,共5页
Computer & Digital Engineering
