TY - GEN
T1 - Study on Complex Event Processing for CPS
T2 - 11th IEEE International Conference on Ubiquitous Intelligence and Computing and 11th IEEE International Conference on Autonomic and Trusted Computing and 14th IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014
AU - Wang, Yuying
AU - Zhou, Xingshe
AU - Shan, Lijun
AU - Miao, Kejian
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - As an emerging technology approved in areas of database and business processing, CEP (Complex Event Process) faced challenges when applied in critical areas like CPS. Based on analysis such challenges from three aspects: event model definition, event semantic interoperability and event pattern matching, a semantic enhanced event model for CPS is proposed. While existing efforts have mainly focused on investigating a uniform CPS event representation with spatio-temporal attributes, our event model composed by two-layer structure, Basic Event Model (BEM) and Extended Information Set (EIS). A BEM could be extended with EIS by semantic adaptor for attribution semantic enhancement. In particular, we define the event process functions, like event attribution extraction and composition determination, for CPS action trigger exploit the CEP engine Esper. Examples show that such event model provides several advantages in terms of extensibility, flexibility and heterogeneous support, and lay the foundations of event-based system design in CPS.
AB - As an emerging technology approved in areas of database and business processing, CEP (Complex Event Process) faced challenges when applied in critical areas like CPS. Based on analysis such challenges from three aspects: event model definition, event semantic interoperability and event pattern matching, a semantic enhanced event model for CPS is proposed. While existing efforts have mainly focused on investigating a uniform CPS event representation with spatio-temporal attributes, our event model composed by two-layer structure, Basic Event Model (BEM) and Extended Information Set (EIS). A BEM could be extended with EIS by semantic adaptor for attribution semantic enhancement. In particular, we define the event process functions, like event attribution extraction and composition determination, for CPS action trigger exploit the CEP engine Esper. Examples show that such event model provides several advantages in terms of extensibility, flexibility and heterogeneous support, and lay the foundations of event-based system design in CPS.
KW - Complex event process
KW - Cyber-physical systems
KW - Event model
KW - Event patern matching
KW - Semantic
UR - http://www.scopus.com/inward/record.url?scp=84949553433&partnerID=8YFLogxK
U2 - 10.1109/UIC-ATC-ScalCom.2014.132
DO - 10.1109/UIC-ATC-ScalCom.2014.132
M3 - 会议稿件
AN - SCOPUS:84949553433
T3 - Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014
SP - 305
EP - 310
BT - Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014
A2 - Zheng, Yu
A2 - Thulasiraman, Parimala
A2 - Apduhan, Bernady O.
A2 - Nakamoto, Yukikazu
A2 - Ning, Huansheng
A2 - Sun, Yuqing
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 December 2014 through 12 December 2014
ER -