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Big Data and Machine Intelligence in Software Platforms for Smart Cities

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Software Architecture (ECSA 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1269))

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Abstract

Information and communication technologies (ICT) are playing an important role in the development of software platforms for Smart Cities to improve city services, sustainability, and citizen quality of life. Smart City software platforms have a significant role to transform a city into a smart city by providing support for the development and integration of intelligent services. Big data analytics is an emerging technology that has a huge potential to enhance smart city services by transforming city information into city intelligence. Despite this,it has attracted attention in a rather restricted range of application domains, and its joint application with self-adaptation mechanisms is rarely investigated.

In this Ph.D. research, in collaboration with the Smart Cities and Communities Lab. of the Italian national agency ENEA, we focus on the design and development of a software platform for smart city based on self-adaptation, as realized in the IBM MAPE-K (Monitor, Analyze, Plan, and Execute over a shared Knowledge) control loop architecture model, and on machine intelligence, as provided by a big data analytics framework. This last is introduced in between the analysis and planning modules of the MAPE-K control loop model. We will evaluate the effectiveness of the proposed approach with a real showcase in the public lighting domain.

This Ph.D. research is conducted in collaboration with the Smart Cities and Communities Lab. of the Italian national agency ENEA.

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Notes

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Acknowledgement

This research program is supported in part by the Italian agency ENEA and the Italy’s Lombardy Region.

Author information

Authors and Affiliations

  1. DIGIP, University of Bergamo, Bergamo, Italy

    Mubashir Ali

Authors
  1. Mubashir Ali
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Correspondence to Mubashir Ali .

Editor information

Editors and Affiliations

  1. University of L’Aquila, L’Aquila, Italy

    Henry Muccini

  2. University of Groningen, Groningen, The Netherlands

    Paris Avgeriou

  3. Faculty of Informatics, Masaryk University, Brno, Czech Republic

    Barbora Buhnova

  4. Department of Computer Science, University of York, York, UK

    Javier Camara

  5. Department of Computer Science, Linnaeus University, Växjö, Sweden

    Mauro Caporuscio

  6. University of L’Aquila, L’Aquila, Italy

    Mirco Franzago

  7. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Anne Koziolek

  8. University of Bergamo, Dalmine, Italy

    Patrizia Scandurra

  9. Gran Sasso Science Institute, L’Aquila, Italy

    Catia Trubiani

  10. Department of Computer Science, KU Leuven, Leuven, Belgium

    Danny Weyns

  11. Faculty of Computer Science, University of Vienna, Vienna, Austria

    Uwe Zdun

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Ali, M. (2020). Big Data and Machine Intelligence in Software Platforms for Smart Cities. In: Muccini, H., et al. Software Architecture. ECSA 2020. Communications in Computer and Information Science, vol 1269. Springer, Cham. https://doi.org/10.1007/978-3-030-59155-7_2

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  • DOI: https://doi.org/10.1007/978-3-030-59155-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59154-0

  • Online ISBN: 978-3-030-59155-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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