TY - GEN
T1 - SBDaaS
T2 - 2nd International Conference on Intelligent Green Building and Smart Grid, IGBSG 2016
AU - Mohamed, Nader
AU - Lazarova-Molnar, Sanja
AU - Al-Jaroodi, Jameela
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/9
Y1 - 2016/8/9
N2 - Huge amounts of data can be collected from smart buildings for accurate diagnostics. However, analyzing, storing and processing this data require huge resources as well as advanced software that implements innovative algorithms for accurate smart building diagnostics. This can be very costly for smart buildings owners. Cloud computing can provide a scalable and cost-effective platform to satisfy these needs. Cloud computing is an emerging commercial IT infrastructure model that offers to eliminate the need for clients to maintain in-house high-cost hardware, software, and network infrastructures. It also reduces or even eliminates the high-cost of recruiting technical professionals to support these infrastructures and operate the in-house IT solutions. This paper proposes a new cloud service that provides some mechanisms for smart building diagnostics that clients, smart building owners and managers, can use. This service is called Smart Building Diagnostics as a Service (SBDaaS). The paper presents an architecture developed for this service. In addition, it discusses the opportunities of utilizing such a service.
AB - Huge amounts of data can be collected from smart buildings for accurate diagnostics. However, analyzing, storing and processing this data require huge resources as well as advanced software that implements innovative algorithms for accurate smart building diagnostics. This can be very costly for smart buildings owners. Cloud computing can provide a scalable and cost-effective platform to satisfy these needs. Cloud computing is an emerging commercial IT infrastructure model that offers to eliminate the need for clients to maintain in-house high-cost hardware, software, and network infrastructures. It also reduces or even eliminates the high-cost of recruiting technical professionals to support these infrastructures and operate the in-house IT solutions. This paper proposes a new cloud service that provides some mechanisms for smart building diagnostics that clients, smart building owners and managers, can use. This service is called Smart Building Diagnostics as a Service (SBDaaS). The paper presents an architecture developed for this service. In addition, it discusses the opportunities of utilizing such a service.
KW - Cloud Services
KW - Energy Efficiency
KW - Fault Detection and Diagnostics
KW - Smart Building
UR - http://www.scopus.com/inward/record.url?scp=84986267441&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84986267441&partnerID=8YFLogxK
U2 - 10.1109/IGBSG.2016.7539417
DO - 10.1109/IGBSG.2016.7539417
M3 - Conference contribution
AN - SCOPUS:84986267441
T3 - Proceedings of the 2nd International Conference on Intelligent Green Building and Smart Grid, IGBSG 2016
BT - Proceedings of the 2nd International Conference on Intelligent Green Building and Smart Grid, IGBSG 2016
A2 - Lachmanova, Michalea
A2 - Maga, Dusan
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 27 June 2016 through 29 June 2016
ER -
