云制造
云计算
稳健性(进化)
计算机科学
物联网
服务组合
异常检测
制造工艺
服务(商务)
分布式计算
数据库
Web服务
数据挖掘
计算机安全
业务
万维网
操作系统
基因
复合材料
营销
化学
材料科学
生物化学
作者
Bo Gao,Shilong Wang,Ling Kang,Xiao Shu,Xingxing Yang
标识
DOI:10.1109/phm-chongqing.2018.00155
摘要
Service composition is the main operation mode of cloud manufacturing (CMfg), but it is vulnerable to exceptions. To keep the robustness of service composition at processing stage in cloud manufacturing, this paper investigated the whole execution process of service composition, and established an adaptive adjustment framework of it. This framework consists of anomaly detection, anomaly diagnosis and anomaly handling. This framework is driven by data, which are collected from the weakest links of the service composition through Internet of things (IoT) technology and monitoring technology. Besides, all data processing and the adjustment strategies are operated by the cloud manufacturing platform.
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