SBDaaS: Smart building diagnostics as a service on the cloud

Nader Mohamed, Sanja Lazarova-Molnar, Jameela Al-Jaroodi

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Intelligent Green Building and Smart Grid
Number of pages6
PublisherIEEE Press
Publication date9. Aug 2016
Article number7539417
ISBN (Electronic)978-1-4673-8473-5, 978-1-4673-8474-2, 978-1-4673-8256-4
DOIs
Publication statusPublished - 9. Aug 2016
Event2nd International Conference on Intelligent Green Building and Smart Grid - Prague, Czech Republic
Duration: 27. Jun 201629. Jun 2016
Conference number: 2

Conference

Conference2nd International Conference on Intelligent Green Building and Smart Grid
Number2
Country/TerritoryCzech Republic
CityPrague
Period27/06/201629/06/2016

Keywords

  • Cloud Services
  • Energy Efficiency
  • Fault Detection and Diagnostics
  • Smart Building

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