Authors: Daniele Toscani, Ilaria Giordani, Mauro Cislaghi, Luigi Quarenghi
Addresses: Consorzio Milano Ricerche, Via Cozzi 53, 20125 Milan, Italy. ' Consorzio Milano Ricerche, Via Cozzi 53, 20125 Milan, Italy. ' Consorzio Milano Ricerche, Via Cozzi 53, 20125 Milan, Italy. ' Department of Computer Science, Systems and Communication, University of Milano Bicocca, Viale Sarca, 336 Building U14, 20126 Milan, Italy
Abstract: Data sources are increasing in number and distribution on the territory: sensor networks and individual devices are not any more atomic devices, but they are transforming data providers and consumers, paving the way to new personalised services. In this context, the paper presents a new software infrastructure for the integration of heterogeneous data (web services and sensors| API for streaming data, databases and files for historical data) and any type of data analysis and inference algorithms (e.g. forecast, statistical analysis, data cleaning, anomaly detection and optimisation). This infrastructure, named SUSHI (Supporting Unified access for Streaming and Historical data), provides explicit representation of domain objects, queries over heterogeneous data sources, online access to different sources, inclusion of processing components such as forecasting and simulation modules. The paper describes the SUSHI concept and architecture, a case study in environmental management and possible future developments for new services.
Keywords: environmental monitoring; environmental management; querying; data integration; data analysis; forecasting; sensor networks; databases; web services; distributed data; streaming data; software infrastructure; integration infrastructure.
International Journal of Sensor Networks, 2011 Vol.10 No.3, pp.132 - 142
Published online: 31 Aug 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article