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A fast and scalable approach for IoT service selection based on a physical service model

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Abstract

Information Systems (ISs) have become one of the crucial tools for various organizations in managing and coordinating business processes. Now we are entering the era of the Internet of Things (IoT). IoT is a paradigm in which real-world physical things can be connected to the Internet and provide services through the computing devices attached. The IoT infrastructure is starting to be integrated with ISs thereby diminishing the boundaries between the physical world and the business IT systems. With the development of IoT technologies, the number of connected things and their available physical services are increasing rapidly. Thus, selecting an appropriate service that satisfies a user’s requirements from such services becomes a time-consuming challenge. To address this issue, we propose a Physical Service Model (PSM) as a common conceptual model to describe heterogeneous IoT physical services. PSM contains three core concepts (device, resource, and service) and specifies their relationships. Based on the proposed PSM, we define three types of Quality of Service (QoS) attributes and rate candidate services according to user requirements. To dynamically rate QoS values and select an appropriate physical service, we propose a Physical Service Selection (PSS) method that takes a user preference and an absolute dominance relationship among physical services into account. Finally, experiments are conducted to evaluate the performance of the proposed method.

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Notes

  1. https://evrythng.com

  2. https://xively.com

  3. https://www.carriots.com

  4. https://www.compose.io

  5. http://share.cisco.com/internet-of-things.html

  6. http://xmlns.com/foaf/spec/

  7. www.geonames.org/ontology/

  8. http://www.geonames.org/ontology/documentation.html

  9. http://hurricane.ncdc.noaa.gov/cgi-bin/climatenormals/climatenormals.pl

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Acknowledgments

This work was supported by the ICT R&D program of MSIP/IITP, Republic of Korea [B0101-16-1276, Access Network Control Techniques for Various IoT Services].

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Authors and Affiliations

  1. Department of Computer Science, Yonsei University, Seoul, Republic of Korea

    Xiongnan Jin, Sejin Chun, Jooik Jung & Kyong-Ho Lee

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  1. Xiongnan Jin
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Correspondence to Kyong-Ho Lee.

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Jin, X., Chun, S., Jung, J. et al. A fast and scalable approach for IoT service selection based on a physical service model. Inf Syst Front 19, 1357–1372 (2017). https://doi.org/10.1007/s10796-016-9650-1

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