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大数据下的CPS自适应路由服务

陈海华 张立臣

计算机工程与应用2018,Vol.54Issue(1):94-101,8.
计算机工程与应用2018,Vol.54Issue(1):94-101,8.DOI:10.3778/j.issn.1002-8331.1701-0082

大数据下的CPS自适应路由服务

Cyber-Physical System adaptive routing service with large data

陈海华 1张立臣1

作者信息

  • 1. 广东工业大学计算机学院,广州510006
  • 折叠

摘要

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 require-ments.

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

Key words

big data/Cyber-Physical System(CPS)/customized routing service/adaptive routing service

分类

信息技术与安全科学

引用本文复制引用

陈海华,张立臣..大数据下的CPS自适应路由服务[J].计算机工程与应用,2018,54(1):94-101,8.

基金项目

国家自然科学基金(No.61572142,No.61370082) (No.61572142,No.61370082)

广东省自然科学基金(No.2015A030313490). (No.2015A030313490)

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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