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

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• 关键词：Smart cities ; Data analytics ; Smart city application engineering ; Smart city applications
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9704
• 期：1
• 页码：1-10
• 全文大小：2,736 KB
• 参考文献：1.Naphade, M., Banavar, G., Harrison, C., Paraszczak, J., Morris, R.: Smarter cities and their innovation challenges. Computer 44(6), 32–39 (2011)CrossRef
  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)
  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)
  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)
  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)
  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)
  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)
  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)
  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 2015
  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)CrossRef
  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)CrossRef
  12.Walter, H., Glaninger, A.: Berechnung von rohrnetzwerken mit baumstruktur. KI Luft-und Kältetechnik 40(11), 460–464 (2004)
  
• 作者单位：Johannes M. Schleicher (16)
  Michael Vögler (16)
  Christian Inzinger (17)
  Sara Fritz (16)
  Manuel Ziegler (16)
  Thomas Kaufmann (16)
  Dominik Bothe (16)
  Julia Forster (16)
  Schahram Dustdar (16)
  
  16. TU Wien, Wien, Austria
  17. University of Zurich, Zurich, Switzerland
  
• 丛书名：Smart Cities
• ISBN：978-3-319-39595-1
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9704

文摘

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.