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S. Glawischnig, H. Hofstätter, A. Mahdavi:
"A Distributed Generic Data Structure for Urban Level Building Data Monitoring";
Talk: Information and Communication Technology - Second IFIP TC5/8 International Conference ICT-EurAsia 2014, Bali, Indonesia; 2014-04-14 - 2014-04-17; in: "Information and Communication Technology Second IFIP TC5/8 International Conference ICT-EurAsia 2014 Bali, Indonesia, April 14-17, 2014 Proceedings", Ir. Linawati, M.S. Mahendra, E.J. Neuhold, A. Tjoa, I. You (ed.); Springer - Heidelberg New York Dordrecht London, (2014), ISBN: 978-3-642-55031-7; 9 pages.

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.

none - see english version

Urban Monitoring, Generic Data Structure, Distributed Systems.

http://dx.doi.org/10.1007/978-3-642-55032-4

http://link.springer.com/chapter/10.1007%2F978-3-642-55032-4_9