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International Conference on Conceptual Modeling

ER 2017: Conceptual Modeling pp 419–433Cite as

Data, Control, and Process Flow Modeling for IoT Driven Smart Solutions

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10650))

Abstract

Internet of Things (IoT) technologies advance physical objects capabilities regarding programmable, sensor-based and connected. Today’s smart applications leverage IoT technologies that enable collaboration between different entities involved in the application. Further, smart applications provide local intelligence attached each device/physical object. The nature of an IoT application usually differs from time-to-time due to varied context and end-device sensing/response. The key issue is that of understanding the data and control flows which govern the processes that act on the sensed data all the way up to end user application. So, conceptually modeling of data, control and process flow for IoT-driven smart applications is more challenging, especially when further modeling the context and exceptions arise during the execution. In this paper, we discuss an architectural framework for IoT-driven smart applications that facilitate monitoring and managing data, control and process flows. We provide a vertically and horizontally integrated enactment of data modeling for smart solutions.

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Author information

Authors and Affiliations

  1. Infosys Limited, Hyderabad, India

    P. Radha Krishna

  2. Data Sciences and Analytics Centre, IIIT-Hyderabad, Hyderabad, India

    Kamalakar Karlapalem

Authors
  1. P. Radha Krishna
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  2. Kamalakar Karlapalem
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Corresponding author

Correspondence to P. Radha Krishna .

Editor information

Editors and Affiliations

  1. University of Klagenfurt, Klagenfurt, Austria

    Heinrich C. Mayr

  2. Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

    Giancarlo Guizzardi

  3. Victoria University of Wellington, Wellington, New Zealand

    Hui Ma

  4. Valencia University of Technology, Valencia, Spain

    Oscar Pastor

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© 2017 Springer International Publishing AG

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Radha Krishna, P., Karlapalem, K. (2017). Data, Control, and Process Flow Modeling for IoT Driven Smart Solutions. In: Mayr, H., Guizzardi, G., Ma, H., Pastor, O. (eds) Conceptual Modeling. ER 2017. Lecture Notes in Computer Science(), vol 10650. Springer, Cham. https://doi.org/10.1007/978-3-319-69904-2_32

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  • DOI: https://doi.org/10.1007/978-3-319-69904-2_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69903-5

  • Online ISBN: 978-3-319-69904-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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