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Edge Computing Simulators for IoT System Design: An Analysis of Qualities and Metrics

Author

Listed:
  • Majid Ashouri

    (Department of Computer Science and Media Technology, Malmö University, 20506 Malmö, Sweden)

  • Fabian Lorig

    (Department of Computer Science and Media Technology, Malmö University, 20506 Malmö, Sweden)

  • Paul Davidsson

    (Department of Computer Science and Media Technology, Malmö University, 20506 Malmö, Sweden)

  • Romina Spalazzese

    (Department of Computer Science and Media Technology, Malmö University, 20506 Malmö, Sweden)

Abstract

The deployment of Internet of Things (IoT) applications is complex since many quality characteristics should be taken into account, for example, performance, reliability, and security. In this study, we investigate to what extent the current edge computing simulators support the analysis of qualities that are relevant to IoT architects who are designing an IoT system. We first identify the quality characteristics and metrics that can be evaluated through simulation. Then, we study the available simulators in order to assess which of the identified qualities they support. The results show that while several simulation tools for edge computing have been proposed, they focus on a few qualities, such as time behavior and resource utilization. Most of the identified qualities are not considered and we suggest future directions for further investigation to provide appropriate support for IoT architects.

Suggested Citation

  • Majid Ashouri & Fabian Lorig & Paul Davidsson & Romina Spalazzese, 2019. "Edge Computing Simulators for IoT System Design: An Analysis of Qualities and Metrics," Future Internet, MDPI, vol. 11(11), pages 1-12, November.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:11:p:235-:d:284915
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    References listed on IDEAS

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    1. Sergej Svorobej & Patricia Takako Endo & Malika Bendechache & Christos Filelis-Papadopoulos & Konstantinos M. Giannoutakis & George A. Gravvanis & Dimitrios Tzovaras & James Byrne & Theo Lynn, 2019. "Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges," Future Internet, MDPI, vol. 11(3), pages 1-15, February.
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    Cited by:

    1. Ritika Raj Krishna & Aanchal Priyadarshini & Amitkumar V. Jha & Bhargav Appasani & Avireni Srinivasulu & Nicu Bizon, 2021. "State-of-the-Art Review on IoT Threats and Attacks: Taxonomy, Challenges and Solutions," Sustainability, MDPI, vol. 13(16), pages 1-46, August.
    2. Spiridoula V. Margariti & Vassilios V. Dimakopoulos & Georgios Tsoumanis, 2020. "Modeling and Simulation Tools for Fog Computing—A Comprehensive Survey from a Cost Perspective," Future Internet, MDPI, vol. 12(5), pages 1-20, May.
    3. Khalid Mohiuddin & Huda Fatima & Mohiuddin Ali Khan & Mohammad Abdul Khaleel & Zeenat Begum & Sajid Ali Khan & Omer Bin Hussain, 2023. "Design of a Novel Edge-Centric Cloud Architecture for m-Learning Performance Effectiveness by Leveraging Distributed Computing Paradigms’ Potentials," SAGE Open, , vol. 13(3), pages 21582440231, August.

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