A Holistic, Interdisciplinary Decision Support System for Sustainable Smart City Design

  • Johannes M. Schleicher
  • Michael Vögler
  • Christian Inzinger
  • Sara Fritz
  • Manuel Ziegler
  • Thomas Kaufmann
  • Dominik Bothe
  • Julia Forster
  • Schahram Dustdar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9704)

Abstract

With the advent of the smart city paradigm, modern cities have become complex systems of systems with a host of increasingly entangled dependencies and interactions among systems as well as stakeholders from multiple different domains. Efficient design, engineering, and operation of such systems is challenging due to the large number of involved stakeholders and their requirements, which might be conflicting and will change over time. In this paper, we present results from our ongoing efforts towards engineering next-generation smart city applications to provide stakeholders with a holistic and tailored view on their problem domain to support them in managing relevant aspects of the city, and furthermore provide effective assistance for important decision processes. We introduce the URBEM Smart City Application (USCA), an interdisciplinary decision support system, and present different views on its use by involved experts from four central smart city domains in the context of a smart city research initiative in the city of Vienna.

Keywords

Smart cities Data analytics Smart city application engineering Smart city applications 

References

  1. 1.
    Naphade, M., Banavar, G., Harrison, C., Paraszczak, J., Morris, R.: Smarter cities and their innovation challenges. Computer 44(6), 32–39 (2011)CrossRefGoogle Scholar
  2. 2.
    Schleicher, J.M., Vögler, M., Inzinger, C., Dustdar, S.: Towards the internet of cities: a research roadmap for next-generation smart cities. In: Understanding the City with Urban Informatics Workshop Colocated with CIKM, pp. 3–6. ACM (2015)Google Scholar
  3. 3.
    Schleicher, J.M., Vögler, M., Dustdar, S., Inzinger, C.: Enabling a smart city application ecosystem: requirements and architectural aspects. IEEE Internet Comput. (2016, to appear)Google Scholar
  4. 4.
    Copil, G., Moldovan, D., Truong, H.L., Dustdar, S.: SYBL: an extensible language for controlling elasticity in cloud applications. In: International Symposium on Cluster, Cloud, and Grid Computing, pp. 112–119. IEEE (2013)Google Scholar
  5. 5.
    Schleicher, J.M., Vögler, M., Inzinger, C., Dustdar, S.: Smart Fabric - an infrastructure-agnostic artifact topology deployment framework. In: International Conference on Mobile Services, pp. 320–327. IEEE (2015)Google Scholar
  6. 6.
    Vögler, M., Schleicher, J.M., Inzinger, C., Nastic, S., Sehic, S., Dustdar, S.: LEONORE - large-scale provisioning of resource-constrained IoT deployments. In: International Symposium on Service-Oriented System Engineering, pp. 78–87. IEEE (2015)Google Scholar
  7. 7.
    Vögler, M., Schleicher, J.M., Inzinger, C., Dustdar, S.: DIANE - dynamic IoT application deployment. In: International Conference on Mobile Services, pp. 298–305 (2015)Google Scholar
  8. 8.
    Schleicher, J.M., Vögler, M., Inzinger, C., Hummer, W., Dustdar, S.: Nomads-enabling distributed analytical service environments for the smart city domain. In: International Conference on Web Services, pp. 679–685. IEEE (2015)Google Scholar
  9. 9.
    Fritz, S.: How public interventions in buildings energy efficiency affect the economic feasibility of a district heating network - a case study for Vienna. In: 38th IAEE International Conference, May 2015Google Scholar
  10. 10.
    Gotham, D.J., Heydt, G.T.: Power flow control and power flow studies for systems with facts devices. IEEE Trans. Power Syst. 13(1), 60–65 (1998)CrossRefGoogle Scholar
  11. 11.
    Geidl, M., Koeppel, G., Favre-Perrod, P., Klockl, B., Andersson, G., Frohlich, K.: Energy hubs for the future. IEEE Power Energ. Mag. 5(1), 24 (2007)CrossRefGoogle Scholar
  12. 12.
    Walter, H., Glaninger, A.: Berechnung von rohrnetzwerken mit baumstruktur. KI Luft-und Kältetechnik 40(11), 460–464 (2004)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Johannes M. Schleicher
    • 1
  • Michael Vögler
    • 1
  • Christian Inzinger
    • 2
  • Sara Fritz
    • 1
  • Manuel Ziegler
    • 1
  • Thomas Kaufmann
    • 1
  • Dominik Bothe
    • 1
  • Julia Forster
    • 1
  • Schahram Dustdar
    • 1
  1. 1.TU WienWienAustria
  2. 2.University of ZurichZurichSwitzerland

Personalised recommendations