TY - GEN
T1 - Improving fast velocity and large volume data processing in IoT/M2M platforms
AU - Peng, Pohan
AU - Lin, Fuchun
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016
Y1 - 2016
N2 - In IoT/M2M platforms such as those defined by ETSI and oneM2M, all data collected by sensors are transmitted and stored in the platforms before they are processed. These data consume much of platform resources including network bandwidth, storage, CPU and memory. Nevertheless, in reality not all these data are needed by the IoT/M2M applications. In this paper, we propose to add a Streaming Data Preprocessor in the IoT/M2M platform to deal with fast velocity and large volume data from the IoT/M2M sensors. We experiment and compare the data processing capability of our enhanced platform with the one without a preprocessor based on an ETSI M2M-compliant platform OpenMTC. Our experiment was conducted for a factory management use case from which we show that our enhanced system demonstrates better performance.
AB - In IoT/M2M platforms such as those defined by ETSI and oneM2M, all data collected by sensors are transmitted and stored in the platforms before they are processed. These data consume much of platform resources including network bandwidth, storage, CPU and memory. Nevertheless, in reality not all these data are needed by the IoT/M2M applications. In this paper, we propose to add a Streaming Data Preprocessor in the IoT/M2M platform to deal with fast velocity and large volume data from the IoT/M2M sensors. We experiment and compare the data processing capability of our enhanced platform with the one without a preprocessor based on an ETSI M2M-compliant platform OpenMTC. Our experiment was conducted for a factory management use case from which we show that our enhanced system demonstrates better performance.
KW - ETSI M2M
KW - IoT/M2M Preprocessing
KW - IoT/M2M Streaming Data Processing
KW - OpenMTC
UR - http://www.scopus.com/inward/record.url?scp=85015157400&partnerID=8YFLogxK
U2 - 10.1109/WF-IoT.2016.7845402
DO - 10.1109/WF-IoT.2016.7845402
M3 - Conference contribution
AN - SCOPUS:85015157400
T3 - 2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016
SP - 565
EP - 570
BT - 2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd IEEE World Forum on Internet of Things, WF-IoT 2016
Y2 - 12 December 2016 through 14 December 2016
ER -