Abstract
Data-driven applications are adapted according to their execution context, and a variety of live data is available to evaluate this contextual information. The BaSeCaaS platform described in this demo paper provides data streaming and adaptation services to the data driven applications. The main features of the platform are separation of information requirements from data supply, model-driven configuration of data streaming services and horizontal scalable infrastructure. The paper describes conceptual foundations of the platform as well as design of data stream processing solutions where matching between information demand and data supply takes please. Light-weight open-source technologies are used to implement the platform. Application of the platform is demonstrated using a winter road maintenance case. The case is characterized by variety of data sources and the need for quick reaction to changes in context.
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Acknowledgements
This study was funded in parts by European Regional Development Fund (ERDF), Measure 1.1.1.5 “Support for RTU international cooperation projects in research and innovation”. Project No. 1.1.1.5/18/I/008.
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Grabis, J., Kampars, J., Pinka, K., Pekša, J. (2019). A Data Streams Processing Platform for Matching Information Demand and Data Supply. In: Cappiello, C., Ruiz, M. (eds) Information Systems Engineering in Responsible Information Systems. CAiSE 2019. Lecture Notes in Business Information Processing, vol 350. Springer, Cham. https://doi.org/10.1007/978-3-030-21297-1_10
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DOI: https://doi.org/10.1007/978-3-030-21297-1_10
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