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Modeling and Simulation Tools for Fog Computing—A Comprehensive Survey from a Cost Perspective

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  • Spiridoula V. Margariti

    (Department of Informatics and Telecommunications, University of Ioannina, GR-47100 Arta, Greece)

  • Vassilios V. Dimakopoulos

    (Department of Computer Science and Engineering, University of Ioannina, GR-45110 Ioannina, Greece)

  • Georgios Tsoumanis

    (Department of Informatics and Telecommunications, University of Ioannina, GR-47100 Arta, Greece)

Abstract

Fog computing is an emerging and evolving technology, which bridges the cloud with the network edges, allowing computing to work in a decentralized manner. As such, it introduces a number of complex issues to the research community and the industry alike. Both of them have to deal with many open challenges including architecture standardization, resource management and placement, service management, Quality of Service (QoS), communication, participation, to name a few. In this work, we provide a comprehensive literature review along two axes— modeling with an emphasis in the proposed fog computing architectures and simulation which investigates the simulation tools which can be used to develop and evaluate novel fog-related ideas.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:5:p:89-:d:358964
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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.
    2. 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.
    3. Saurabh Shukla & Mohd Fadzil Hassan & Muhammad Khalid Khan & Low Tang Jung & Azlan Awang, 2019. "An analytical model to minimize the latency in healthcare internet-of-things in fog computing environment," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-31, November.
    4. Lykke E. Andersen & Anna Sophia Doyle & Fabián E. Soria & Montserrat Valdivia, 2016. "I - Internet," INESAD book chapters, in: Lykke E. Andersen & Boris Branisa & Stefano Canelas (ed.), El ABC del desarrollo en Bolivia, edition 1, volume 1, chapter 0, pages 101-106, Institute for Advanced Development Studies.
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    Cited by:

    1. Shivani Gupta & Vandana Khaitan nee Gupta, 2024. "Reliability and performance analysis of vehicular fog computing," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(9), pages 4355-4369, September.

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