关键词: 大数据, 信息物理融合系统（CPS）, 定制化路由服务, 自适应路由服务

Abstract: As a network information system, Cyber-Physical System（CPS） includes computing, human activities and automatic decision which realizes mainly through message communication technology. Different from other control systems, CPS is composed of many heterogeneous subsystems. As long as the emergence of a variety of new network applications, the traditional routing configuration model becomes more and more difficult to adapt to the CPS’s diverse data communication needs. Therefore, it is necessary to provide appropriate communication demands on different types of CPS subsystems based on their specific communication, and compose routing services adaptively to satisfy their packet transmission characteristics with CPS’s fitness of communication service improved. Inspired by the new paradigm of data correlation brought by the big data, the dependencies between CPS’s communication adaptability and routing service properties are analyzed and exploited to help customize routing services efficiently, and a big date driven CPS’s adaptive routing service customization scheme is proposed. Mainly driven by the big data about the status of in-network flows, a CPS Communicate requirement attribute model is created, the dependencies between CPS’s communication performance and routing requirements are exploited, and then the candidate routing function set is obtained. The big data-driven, customized routing service proposed can effectively deal with the ever-expanding CPS network communication requirements.