TY - GEN
T1 - Error correction method considering fog and edge computing environment
AU - Matsui, Kanae
AU - Nishi, Hiroaki
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by grants from the Project of the Bio-oriented Technology Research Advancement Institution, NAROthe research project for the future agricultural production utilizing artificial intelligence), and MEXT/JSPS KAKENHI Grant Number JP16H04455, JP17H01739, and 17K12789, and SECOM Science and Technology Foundation, respectively.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - This study aims to execute error correction service of sensor data at fog and edge, which are the computing environments for distributing the concentrated processes in a cloud by using hierarchical computing resources. Service integrity of error correction was evaluated as an essential application of fog and edge computing environment, which can use the locality of fog and edge. Errors or outliers in data may cause a serious problem in system controlling and visualization application for behavior change when by using the malformed data or visualization of the data. The proposed methods can solve the data congestion problems at a cloud in the future IoT era.
AB - This study aims to execute error correction service of sensor data at fog and edge, which are the computing environments for distributing the concentrated processes in a cloud by using hierarchical computing resources. Service integrity of error correction was evaluated as an essential application of fog and edge computing environment, which can use the locality of fog and edge. Errors or outliers in data may cause a serious problem in system controlling and visualization application for behavior change when by using the malformed data or visualization of the data. The proposed methods can solve the data congestion problems at a cloud in the future IoT era.
KW - Edge computing
KW - Fog computing
KW - Internet of Things
KW - Smart community
UR - http://www.scopus.com/inward/record.url?scp=85070935317&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070935317&partnerID=8YFLogxK
U2 - 10.1109/ICPHYS.2019.8780317
DO - 10.1109/ICPHYS.2019.8780317
M3 - Conference contribution
AN - SCOPUS:85070935317
T3 - Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
SP - 517
EP - 521
BT - Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
Y2 - 6 May 2019 through 9 May 2019
ER -