TY - GEN
T1 - Optical fibre multi-parameter sensing with secure cloud based signal capture and processing
AU - Newe, Thomas
AU - O'Connell, Eoin
AU - Meere, Damien
AU - Yuan, Hongwei
AU - Leen, Gabriel
AU - O'Keeffe, Sinead
AU - Lewis, Elfed
N1 - Publisher Copyright:
© 2016 SPIE.
PY - 2016
Y1 - 2016
N2 - Recent advancements in cloud computing technologies in the context of optical and optical fibre based systems are reported. The proliferation of real time and multi-channel based sensor systems represents significant growth in data volume. This coupled with a growing need for security presents many challenges and presents a huge opportunity for an evolutionary step in the widespread application of these sensing technologies. A tiered infrastructural system approach is adopted that is designed to facilitate the delivery of Optical Fibre-based "SENsing as a Service- SENaaS". Within this infrastructure, novel optical sensing platforms, deployed within different environments, are interfaced with a Cloud-based backbone infrastructure which facilitates the secure collection, storage and analysis of real-time data. Feedback systems, which harness this data to affect a change within the monitored location/environment/condition, are also discussed. The cloud based system presented here can also be used with chemical and physical sensors that require real-time data analysis, processing and feedback.
AB - Recent advancements in cloud computing technologies in the context of optical and optical fibre based systems are reported. The proliferation of real time and multi-channel based sensor systems represents significant growth in data volume. This coupled with a growing need for security presents many challenges and presents a huge opportunity for an evolutionary step in the widespread application of these sensing technologies. A tiered infrastructural system approach is adopted that is designed to facilitate the delivery of Optical Fibre-based "SENsing as a Service- SENaaS". Within this infrastructure, novel optical sensing platforms, deployed within different environments, are interfaced with a Cloud-based backbone infrastructure which facilitates the secure collection, storage and analysis of real-time data. Feedback systems, which harness this data to affect a change within the monitored location/environment/condition, are also discussed. The cloud based system presented here can also be used with chemical and physical sensors that require real-time data analysis, processing and feedback.
KW - Cloud Computing
KW - Optical Fibre Sensing
KW - Sensing-as-a-Service
KW - Virtualisation
KW - VMware
UR - http://www.scopus.com/inward/record.url?scp=84976550817&partnerID=8YFLogxK
U2 - 10.1117/12.2236632
DO - 10.1117/12.2236632
M3 - Conference contribution
AN - SCOPUS:84976550817
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Sixth European Workshop on Optical Fibre Sensors
A2 - Lewis, Elfed
PB - SPIE
T2 - 6th European Workshop on Optical Fibre Sensors
Y2 - 31 May 2016 through 3 June 2016
ER -