Glawischnig, S., Hofstätter, H., & Mahdavi, A. (2014). A Distributed Generic Data Structure for Urban Level Building Data Monitoring. In I. Linawati, M. S. Mahendra, E. J. Neuhold, A. M. Tjoa, & I. You (Eds.), Information and Communication Technology (pp. 86–95). Springer - Heidelberg New York Dordrecht London. https://doi.org/10.1007/978-3-642-55032-4_9
Information and Communication Technology - Second IFIP TC5/8 International Conference ICT-EurAsia 2014
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Event date:
14-Apr-2014 - 17-Apr-2014
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Event place:
Bali, Indonesia Bali, Indonesia
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Event place:
NON-EU
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Number of Pages:
10
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Publisher:
Springer - Heidelberg New York Dordrecht London
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Publisher:
Springer
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Publisher:
Berlin, Heidelberg
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Peer reviewed:
Yes
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Keywords:
Urban Monitoring; Generic Data Structure; Distributed Systems.
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Abstract:
none - see english version
Building a generic data structure that handles building realated data at an urban scale offers certain challenges. Real world entities must be captured in an environment that allows for the communication of relevent data. The associated software components must be maintainable and reliable. The present contribution describes efforts to enhance a well tested building monitoring framework to handle building data at an urban scale. This requires the development of a distributed, generic and enhancable data store, as well as the conceptualization of a modular and scalable application architecture. The scalable data store is introduced, as well as the modularization process of the application logic, including data handling and communication routines. Furthermore, the concept of Virtual Datapoints and Virtual Datapoint Collections enables urban entities (for instance buildings) to communicate their status to the system in an effective way.
en
Research Areas:
Environmental Monitoring and Climate Adaptation: 40% Energy Active Buildings, Settlements and Spatial Infrastructures: 10% Computer Engineering and Software-Intensive Systems: 50%
