Multi-level Architecture on Web Services Based Policy Domain Use Cases Simulator

  • Artis Aizstrauts
  • Egils Ginters
  • Ieva Lauberte
  • Miquel Angel Piera Eroles
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 153)

Abstract

The FP7 FUPOL project aims at a completely new approach to traditional policy modeling providing complex domain use case verification with the FUPOL Simulator and visualisation of the results in a form suitable for beneficiaries. Policy domain use case models are diverse and versatile, therefore architecture of the simulator must fit complexity and usability requirements that determine involving heterogeneous agent-based and system dynamics simulation technologies and an appropriate implementation comprising on SOA based distributed models joined by Easy Communication Environment (ECE). The article deals with designing the FUPOL Simulator architecture, and the benefits, and drawbacks of the approach used.

Keywords

Agent-based simulation (ABM/MAS) FUPOL Policy simulation Distributed simulation System dynamics Service oriented architecture (SOA) Land Use Category Change (LUCC) Easy Communication Environment (ECE) 
This is a preview of subscription content, log in to check access.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Simulation technology could help prevent future financial crises. European Commission. IP/09/1841 (November 2009), http://europa.eu/rapid/pressReleases (accessed February 12, 2013)
  2. 2.
    Blanchard, O., Leigh, D.: Growth Forecast Errors and Fiscal Multipliers, IMF Working Paper (January 2013), http://www.imf.org/external/pubs/ft/wp/2013/wp1301.pdf (accessed February 12, 2013)
  3. 3.
    Silva, S., Fidalgo, J.N., Dalila, B.M.F.: A simulation based decision aid tool for setting regulation of energy grids with distributed generation. Springer, Heidelberg (2009) ISSN 1109-2858 (Print), 1866-1505 (Online)Google Scholar
  4. 4.
    Sonntagbauer, S., Hassapi, A., Tomic-Rotim, S., Neophytou, H., Piera Eroles, M.A., Mujica Mota, M.A., Palmisano, E.: Deliverable 2.1 – FUPOL Guidelines on Policy for Cities and Municipalities, p. 325 (2012)Google Scholar
  5. 5.
    Piera, M.A., Mújica, M., Moise, M., Neofytou, H.: Deliverable 2.2 – FUPOL Cognitive and Causal Models for Prototype, p. 271 (2012)Google Scholar
  6. 6.
    Sonntagbauer, S., et al.: EC FP7-ICT-2011-7 IP project FUPOL No. 287119 (2011-2014) “Future Policy Modelling (IP)”, Deliverable 4.1 – FUPOL Simulator Software Requirements Report, p. 231 (2012)Google Scholar
  7. 7.
    Ginters, E., Sakne, I., Lauberte, I., Aizstrauts, A., Dreija, G., Aquilar Chinea, R.M., Merkuryev, Y., Novitsky, L., Grundspenkis, J.: Simulation Highway – Direct Access Intelligent Cloud Simulator. In: Proceedings of 23th Europen Modelling & Simulation Symposium (EMSS 2011) Rome, Italy, September 12-14, pp. 62–72 (2011) ISBN 978-88-903724-4-5Google Scholar
  8. 8.
    Buil, R., Piera, A.A., Tomic, S., Bandic, M., Boyong, W., Boscolo, P., Matheou, M., Palmisano, E.: Deliverable 2.3 – FUPOL Model Parameterization. Draft Version (2012)Google Scholar
  9. 9.
    Sonntagbauer, S., Ginters, E., et al.: EC FP7-ICT-2011-7 IP project FUPOL No. 287119 (2011-2014) “Future Policy Modelling (IP)”, Deliverable 4.2 – FUPOL Simulator Software Interfaces Specification, p. 78 (2012)Google Scholar
  10. 10.
    Li, X., Zaïane, O.R., Li, Z.-h. (eds.): ADMA 2006. LNCS (LNAI), vol. 4093, p. 1110. Springer, Heidelberg (2006)Google Scholar
  11. 11.
    Bellinger, G.: Scott: Beyond Connecting the Dots, Kill Devil Hills, NC (2012), http://insightmaker.com (accessed February 12, 2013)
  12. 12.
    ISEE Systems, STELLA – Systems Thinking for Education and Research, http://www.iseesystems.com/softwares/Education/StellaSoftware.aspx (accessed December 24, 2012)
  13. 13.
    Aizstrauts, A., Ginters, E., Aizstrauta, D., Sonntagbauer, P.: Easy Communication Environment on the Cloud as Distributed Simulation Infrastructure. In: Proceedings of the 5th WSEAS World Congress on Applied Computing Conference (ACC 2012), Faro, Portugal, May 2-4. Recent Advances in Computing Engineering Series 2, pp. 173–179 (2012) ISBN: 978-1-61804-089-3, ISSN: 1790-5109Google Scholar
  14. 14.
    Silins, A., Ginters, E., Aizstrauta, D.: Easy Communication Environment for Distributed Simulation. In: World Scientific Proceedings Series on Computer Engineering and Information Science 3 “Computational Intelligence in Business and Economics”, Proceedings of the MS 2010 International Conference, Barcelona, Spain, July 15-17, pp. 91–98 (2010) ISBN 978-981-4324-43-4Google Scholar
  15. 15.
    Aizstrauts, A., Ginters, E., Aizstrauta, D.: Easy Communication Approach for Data Exchange in Distributed Simulation Environment. In: Proceedings of the 13th WSEAS International Conference on Automatic Control, Modelling & Simulation (ACMOS 2011), Lanzarote, Canary Islands, Spain, May 27-29, pp. 34–39 (2011) ISBN: 978-1-61804-004-6, ISSN: 2223-2907Google Scholar
  16. 16.
    Perumalla, K.: Tutorial. Handling Time Management under the High Level Architecture (2011), http://www.ornl.gov/~2ip/doc/perumalla-tutorialslides-iitsec06.pdf (accessed November 15, 2011)
  17. 17.
    Welcome to the Mule Community. Mule ESB – The easiest way to integrate anything, anywhere, http://www.mulesoft.org/ (accessed December 24, 2012)
  18. 18.
    CORINE Land cover, http://www.eea.europa.eu/publications/COR0-landcover (accessed December 24, 2012)
  19. 19.
    The Repast Suite, http://repast.sourceforge.net (accessed December 24, 2012)
  20. 20.
    Apache Tomcat 7, http://tomcat.apache.org/tomcat-7.0-doc/setup.html (accessed December 24, 2012)
  21. 21.
    Koomen, E., Stillwell, J., Bakema, A., Scholten, H.J.: Modelling Land-Use Change, Progress and Applications, The GeoJournal Library 90, p. 392. Springer (2007) ISBN 978-1-4020-6484-5Google Scholar
  22. 22.
    Linke, C.S.: Local level application of the dynamic land use model METRONAMICA. Assessment and modeling – a case study on the Dutch municipality Weert. Diploma Thesis at the Technical University Berlin Institute of Landscape Architecture and Environmental Planning (2008)Google Scholar
  23. 23.
    Brennan, M., Twumasi, B.O.: Does MOLAND work as a tool for the assessment and/or as a predictor of the distribution of urban biodiversity in Dublin city? Urban Institute Ireland Working Paper Series; 08/04, University College Dublin. Urban Institute Ireland (2008)Google Scholar
  24. 24.
    JRC: MOLAND- Monitoring Land Use/Cover Dynamics. Towards Sustainable Urban and Regional Development, http://moland.jrc.ec.europa.eu/technical_tools/model/moland_model.htm (accessed February 12, 2013)

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Artis Aizstrauts
    • 1
  • Egils Ginters
    • 1
  • Ieva Lauberte
    • 1
  • Miquel Angel Piera Eroles
    • 2
  1. 1.Sociotechnical Systems Engineering InstituteVidzeme University of Applied SciencesValmieraLatvia
  2. 2.Dept. de Telecomunicació i Enginyeria de SistemesUniversitat Autònoma de BarcelonaBarcelonaSpain

Personalised recommendations