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Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service?

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Internet of Everything (IoECon 2022)

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Abstract

Execution costs are broadly used in the evaluation of the scalability of IoT systems. A well-known concern in their use is the extent to which their scalability desiderata best predicts Quality of Service (QoS). At first, past studies did not ratify a relationship between the scalability approaches and QoS in IoT systems. More recently, however, the correlations between these have begun to emerge. In this paper, we extend those findings and open up new avenues to further research by proposing a statistical testing approach for scrutinizing this relationship. The initial findings delineate that there is a significant correlation between the scalability approach employed and QoS in IoT systems. Our results strengthen the use of execution costs in the scalability of IoT systems confirming that QoS can be successfully predicted.

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Notes

  1. 1.

    https://www.opensourceforu.com/2016/11/best-open-source-cloud-computing-simulators/ Last Accessed on 15/Jan/2022.

  2. 2.

    https://www.omantel.com/ Last Accessed on 10/Jan/2022.

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Author information

Authors and Affiliations

  1. University of Technology and Applied Sciences, Al Khuwair 33, PC113, Muscat, Sultanate of Oman

    Ahmed Al-Qasmi, Huda Al Shuaily & Safiya Al Sharji

  2. College of Science and Technology, Wenzhou Kean University, Wenzhou, China

    Kennedy E. Ehimwenma

Authors
  1. Ahmed Al-Qasmi
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  2. Huda Al Shuaily
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  3. Kennedy E. Ehimwenma
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  4. Safiya Al Sharji
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Corresponding author

Correspondence to Kennedy E. Ehimwenma .

Editor information

Editors and Affiliations

  1. University of Minho, Guimarães, Portugal

    Teresa Pereira

  2. Hofstra University, Hempstead, NY, USA

    John Impagliazzo

  3. University of Minho, Guimarães, Portugal

    Henrique Santos

Appendix

Appendix

Default Configurations in Simulation.

Parameter

Value used

top1 (502,003 users)

4 GB total (from 1 small host modelled with 4 GB RAM)

top2 (304,050 users)

8 GB total (from 2 small hosts modelled with 4 GB RAM each)

top3 (415,952 users)

12 GB total (from 3 small hosts modelled with 4 GB RAM each)

top4 (360,534 users)

16 GB total (from 4 small hosts modelled with 4 GB RAM each)

top5 (400,453 users)

20 GB total (from 5 small hosts modelled with 4 GB RAM each)

top6 (298,952 users)

24 GB total (from 6 small hosts modelled with 4 GB RAM each)

top7 (370,119 users)

28 GB total (from 7 small hosts modelled with 4 GB RAM each)

top8 (360,017 users)

32 GB total (from 8 small hosts modelled with 4 GB RAM each)

Processing Speed

10000 MIPS (Host)

Transmission Rate

1.54 Mbps

Bandwidth (MB)

10000

Cloud latency

100 ms

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Al-Qasmi, A., Al Shuaily, H., Ehimwenma, K.E., Al Sharji, S. (2023). Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service?. In: Pereira, T., Impagliazzo, J., Santos, H. (eds) Internet of Everything. IoECon 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 458. Springer, Cham. https://doi.org/10.1007/978-3-031-25222-8_8

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  • DOI: https://doi.org/10.1007/978-3-031-25222-8_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-25221-1

  • Online ISBN: 978-3-031-25222-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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