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Simulation Tools for Fog Computing: A Comparative Analysis.

Muhammad Fahimullah1, Guillaume Philippe1, Shohreh Ahvar2

  • 1Institut Supérieur d'Électronique de Paris (ISEP), 75006 Paris, France.

Sensors (Basel, Switzerland)
|April 13, 2023
PubMed
Summary
This summary is machine-generated.

This study compares Fog Computing (FC) simulators, evaluating their technical features and performance. The findings aid researchers in selecting the best simulator for their specific Fog Computing applications and use cases.

Keywords:
cloud computingedge computingevaluationfog computingsimulators

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Cloud Computing

Background:

  • Fog Computing (FC) extends cloud capabilities closer to end-users.
  • Researchers develop various FC solutions and utilize simulators for early-stage evaluation.
  • Selecting an appropriate FC simulator is crucial for effective solution assessment.

Purpose of the Study:

  • To conduct a comprehensive comparison of different Fog Computing simulators.
  • To analyze both technical and non-technical characteristics of FC simulators.
  • To provide practical performance insights for simulator selection.

Main Methods:

  • Comparative analysis of technical and non-technical simulator attributes.
  • Practical performance benchmarking of leading FC simulators.
  • Evaluation of execution time, CPU, and memory usage across diverse applications.

Main Results:

  • Detailed comparison of FC simulator features and capabilities.
  • Empirical data on the performance of three major FC simulators.
  • Identification of simulator strengths and weaknesses for various use cases.

Conclusions:

  • The study offers guidance for researchers in choosing suitable FC simulators.
  • Highlights open issues and future challenges in Fog Computing simulator development.
  • Aims to facilitate more accurate and efficient evaluation of FC solutions.