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On the interplay of open data, cloud services and network providers towards electric mobility in smart cities

 
: Tcholtchev, Nikolay; Farid, Lena; Marienfeld, Florian; Schieferdecker, Ina; Dittwald, Benjamin; Lapi, Evanela

:
Postprint urn:nbn:de:0011-n-2414953 (839 KByte PDF)
MD5 Fingerprint: 9d7095afb5b1028ae5d6e2907ff620f7
© 2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 3.7.2013


Institute of Electrical and Electronics Engineers -IEEE-:
IEEE 37th Conference on Local Computer Networks Workshops, LCN 2012. Proceedings : Clearwater, Florida, USA, 22-25 October 2012
New York, NY: IEEE, 2012
ISBN: 978-1-4673-2130-3 (Print)
ISBN: 978-1-4673-2128-0 (CD-ROM)
ISBN: 978-1-4673-2129-7 (Online)
S.860-867
Conference on Local Computer Networks (LCN) <37, 2012, Clearwater/Fla.>
International Workshop on GlObal Trends in SMART Cities (goSMART) <1, 2012, Clearwater/Fla.>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FOKUS ()
Smart Cities; Open Data; electric mobility; load balancing

Abstract
Quality of life in an urban environment depends strongly on ecological, social and mobility aspects. A major innovation in that context is given by the emergence of electric vehicles. Additionally, the explosive growth of social networks has shown how the Internet can be used to maintain and create communities, thereby bringing mutual benefits to the involved participants. Combining both, there is an obvious potential for the realization of collaborative electric vehicle sharing within a city. In this paper, we investigate one of the key aspects required to realize the vision of electric vehicle sharing - a cloud infrastructure for handling the required data. We propose a distributed architecture for the realization of such data cloud. Further, we demonstrate how ISP networks and the elect ric mobility data cloud can collaborate in order to provide efficient streaming of continuous data.

: http://publica.fraunhofer.de/dokumente/N-241495.html