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Defining Design Patterns for IoT APIs

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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

Smart devices (or things) in the realm of IoT (Internet of Things) talk to each other and transfer data over the Internet. IoT vendors provide APIs for their clients to send data to the gateways and application servers. However, there is a lack of guidelines on how a vendor would design its API and resource URIs (Uniform Resource Identifiers). A generic design solution – design patterns – would make the API design and development easier for the vendors. Design patterns are reusable solutions to recurring problems and provide improved reusability and understandability. Currently, there are no design patterns for IoT APIs that IoT vendors can use. In this paper, we analyzed more than 1,300 URIs from 13 IoT APIs including IBM Watson and Microsoft Azure, and proposed eight novel design patterns for IoT APIs. We analyzed two datasets: (1) analysis set with 70% of all our URIs to define design patterns for IoT APIs and (2) validation set with the remaining 30% of the URIs to verify the prevalence of defined design patterns. We found that design patterns are prevalent in the IoT domain.

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Acknowledgment

We would like to thank The Knowledge Foundation that partially supported this research through two projects with ref no. 20150088 and 20170176, respectively. This study is conducted with support from Linnaeus University Centre for Data Intensive Sciences and Applications (DISA).

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Authors and Affiliations

  1. Department of Computer Science and Media Technology, Linnaeus University, Kalmar, Sweden

    Rasmus Svensson, Adell Tatrous & Francis Palma

Authors
  1. Rasmus Svensson
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  2. Adell Tatrous
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  3. Francis Palma
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Corresponding author

Correspondence to Francis Palma .

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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Svensson, R., Tatrous, A., Palma, F. (2020). Defining Design Patterns for IoT APIs. 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_32

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  • DOI: https://doi.org/10.1007/978-3-030-59155-7_32

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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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