关键词: 制造云服务, 服务质量, 时间序列, 缺失值

Abstract: Owing to the problems that traditional missing value estimating algorithms of cloud manufacturing services Quality of Service (QoS) time series did not fill the missing data of time series well,a new algorithm was presented to handle the challenge.By considering two characteristics of QoS time series which called QoS data correlation and QoS data similarity,the missing values estimation algorithm based on QoS data correlation and the missing values estimating algorithm based on QoS data similarity were constructed,and the QoS optimal estimating of missing values was obtained.Compared with traditional missing value estimating algorithms,experimental results showed that the algorithm was an effective algorithm.

Key words: cloud manufacturing services, quality of service, time series, missing value