Smart Monitoring and Metering Infrastructures are gaining a relevant role in the current industrial panorama, reflecting an ever increasing need to keep-in-control all the processes and assets impacting on the production ecosystem of a company. However, the progressive increase of monitored features and quantities imposes stricter requirements on monitoring networks and software, driving a shift from the current database-centric approach to more scalable data-centric solutions. In this chapter we introduce a data-centric processing framework, based on state-of-the-art CEP engines, specifically designed to support domain experts to set up flexible, and re-usable, monitoring and alerting processes for very large industrial settings, with hundreds of sensors deployed in multiple locations. Real-world deployment in the building energy monitoring domain are presented and discussed.

Real-time Big Data Processing for Domain Experts, An Application to Smart Buildings / Bonino, Dario; Corno, Fulvio; DE RUSSIS, Luigi - In: Big Data Computing / Rajendra Akerkar. - STAMPA. - Boca Raton : CRC Press, 2013. - ISBN 9781466578388. - pp. 415-447 [10.1201/b16014-20]

Real-time Big Data Processing for Domain Experts, An Application to Smart Buildings

BONINO, DARIO;CORNO, Fulvio;DE RUSSIS, LUIGI
2013

Abstract

Smart Monitoring and Metering Infrastructures are gaining a relevant role in the current industrial panorama, reflecting an ever increasing need to keep-in-control all the processes and assets impacting on the production ecosystem of a company. However, the progressive increase of monitored features and quantities imposes stricter requirements on monitoring networks and software, driving a shift from the current database-centric approach to more scalable data-centric solutions. In this chapter we introduce a data-centric processing framework, based on state-of-the-art CEP engines, specifically designed to support domain experts to set up flexible, and re-usable, monitoring and alerting processes for very large industrial settings, with hundreds of sensors deployed in multiple locations. Real-world deployment in the building energy monitoring domain are presented and discussed.
2013
9781466578388
Big Data Computing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2504150
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