TY - JOUR
T1 - Fog-enabled Event Processing Based on IoT Resource Models
AU - Zhang, Yang
AU - Sheng, Victor S.
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China (no. 61372115), and the National Key Research and Development Program of China (No. 2018YFB1003804, 2017YFB1400603).
Publisher Copyright:
© 2018 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - —Complex Event Processing (CEP) systems extract interest situations from event flows based on event detection patterns. However, local event processing for distributed Internet of Things (IoT) has not been discussed yet. Besides, it is complex or impossible to discover such patterns in some applications of IoT. In this article, we design a complex event service to process event flows based on IoT resource models, which does not depend on existing patterns, and deals with both discrete events and continuous variables. To improve the CEP performance, local IoT resources are used for local event processing, and a lazy exchange method is designed to realize the collaborated event processing between network edges and a data center. Our evaluation shows that our solution is feasible and effective.
AB - —Complex Event Processing (CEP) systems extract interest situations from event flows based on event detection patterns. However, local event processing for distributed Internet of Things (IoT) has not been discussed yet. Besides, it is complex or impossible to discover such patterns in some applications of IoT. In this article, we design a complex event service to process event flows based on IoT resource models, which does not depend on existing patterns, and deals with both discrete events and continuous variables. To improve the CEP performance, local IoT resources are used for local event processing, and a lazy exchange method is designed to realize the collaborated event processing between network edges and a data center. Our evaluation shows that our solution is feasible and effective.
KW - CEP
KW - IoT resource
KW - fog computing
KW - satisfiability modulo theories
UR - http://www.scopus.com/inward/record.url?scp=85052634036&partnerID=8YFLogxK
U2 - 10.1109/TKDE.2018.2867504
DO - 10.1109/TKDE.2018.2867504
M3 - Article
AN - SCOPUS:85052634036
SN - 1041-4347
VL - 31
SP - 1707
EP - 1721
JO - IEEE Transactions on Knowledge and Data Engineering
JF - IEEE Transactions on Knowledge and Data Engineering
IS - 9
ER -