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Simulator for Interactive and Effective Organization of Things in Edge Cluster Computing.

Woojae Kim1, Inbum Jung1

  • 1Department of Computer Information and Communication Engineering, Kangwon National University, Chuncheon 24341, Gangwondo, Korea.

Sensors (Basel, Switzerland)
|April 30, 2021
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This study introduces a simulator for effective edge computing organization, reducing resource needs. The simulator, targeting Raspberry Pi, accurately models edge environments for optimized IoT network performance.

Keywords:
RaSimclusteredge computingresource usagesimulatorvirtual things

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Area of Science:

  • Computer Science
  • Internet of Things (IoT)
  • Distributed Systems

Background:

  • Edge computing processes data near IoT devices for faster, intelligent responses.
  • Effective organization of edge resources is crucial for realizing edge computing's potential.
  • Current methods for organizing edge resources are resource-intensive and time-consuming.

Purpose of the Study:

  • To propose a simulator for creating virtual edge computing environments.
  • To facilitate interactive roles and effective organization of edge devices.
  • To reduce the human and material resources required for edge region arrangement.

Main Methods:

  • Developed a simulator targeting Raspberry Pi hardware.
  • Evaluated simulator accuracy by comparing it to physical Raspberry Pi performance using three metrics.
  • Executed various edge computing service applications within different simulated cluster architectures.

Main Results:

  • The simulator demonstrated accuracy in mimicking physical Raspberry Pi behavior.
  • Performance evaluation across diverse cluster architectures validated the simulator's utility.
  • The simulator effectively identified optimal numbers of devices for edge cluster formation.

Conclusions:

  • The proposed simulator provides a viable virtual environment for edge computing research and development.
  • It aids in optimizing resource usage and achieving fast real-time responses in edge networks.
  • The simulator supports efficient planning and organization of edge computing deployments.