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Modeling of Sensor Clouds Under the Sensing as a Service Paradigm

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Broadband Communications, Networks, and Systems (BROADNETS 2018)

Abstract

5G technologies will facilitate the emergence of applications integrating multiple physical Things. In such scenarios, Cloud-integrated platforms end up having a key role due to their storage and processing capabilities. Therefore, a clear understanding of Sensor Clouds, and on how Cloud mechanisms can be orchestrated to better face requests, becomes a very relevant issue as Sensing as a Service models emerge. This article presents a model for Sensor Clouds, suitable for emerging IoT related Sensing as a Service business models. Such a model is used to assess the impact of resource allocation approaches and unveil the trade-off between scalability, elasticity and quality of experience. Results show that the best resource allocation approach is highly dependent on the suppliers/consumers scenario.

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Notes

  1. 1.

    A Resource Description Framework (RDF) triple.

  2. 2.

    A flow tree is assumed.

  3. 3.

    Average of results obtained for all generated graphs.

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Acknowledgment

This work was supported by FCT (Foundation for Science and Technology) from Portugal within CEOT (Center for Electronic, Optoelectronic and Telecommunications) and UID/MULTI/00631/2013 project.

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Authors and Affiliations

  1. CEOT, FCT, University of Algarve, 8005-139, Faro, Portugal

    J. Guerreiro, L. Rodrigues & N. Correia

Authors
  1. J. Guerreiro
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  2. L. Rodrigues
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  3. N. Correia
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Corresponding author

Correspondence to J. Guerreiro .

Editor information

Editors and Affiliations

  1. Instituto de Telecomunicações, Lisboa, Portugal

    Victor Sucasas

  2. Instituto de Telecomunicações, Lisboa, Portugal

    Georgios Mantas

  3. Communications Engineering, Al-Hussein Bin Talal University, Ma'an, Jordan

    Saud Althunibat

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Guerreiro, J., Rodrigues, L., Correia, N. (2019). Modeling of Sensor Clouds Under the Sensing as a Service Paradigm. In: Sucasas, V., Mantas, G., Althunibat, S. (eds) Broadband Communications, Networks, and Systems. BROADNETS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-030-05195-2_3

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  • DOI: https://doi.org/10.1007/978-3-030-05195-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05194-5

  • Online ISBN: 978-3-030-05195-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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