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Support Mobile Fog Computing Test in piFogBedII.

Qiaozhi Xu1,2, Junxing Zhang1, Bulganmaa Togookhuu3

  • 1College of Computer Science, Inner Mongolia University, Hohhot 010021, China.

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|April 3, 2020
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Summary
This summary is machine-generated.

The study introduces piFogBedII, a testbed for mobile fog applications, enhancing IoT and 5G services. It effectively supports mobile end devices and applications with acceptable migration delays.

Keywords:
Internet of thingsIoTedge computingfog computingmobile crowdsourcingtestbed

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Area of Science:

  • Computer Science
  • Networking
  • Internet of Things (IoT)

Background:

  • The proliferation of IoT devices and 5G networks necessitates robust testing for delay-sensitive applications.
  • Current simulation tools lack the fidelity required for accurate evaluation of real-world fog computing environments.
  • Existing testbeds like PiFogBed do not support mobile end devices or mobile fog applications.

Purpose of the Study:

  • To propose and evaluate piFogBedII, an enhanced fog computing testbed.
  • To enable testing of mobile fog applications and support mobile end devices.
  • To address the limitations of existing simulation and testbed approaches for mobile IoT scenarios.

Main Methods:

  • Modification of the original PiFogBed testbed components.
  • Extension of end-device range and implementation of a mobile and migration management strategy.
  • Integration of a container agent for transparent transmission between end devices and containers.

Main Results:

  • The piFogBedII testbed effectively supports mobile fog applications.
  • The implemented mobile and migration strategy proved effective for real-world testing.
  • The introduced delay from migration and container agents was found to be acceptable.

Conclusions:

  • piFogBedII provides a viable solution for testing mobile fog applications in realistic scenarios.
  • The enhancements enable comprehensive performance evaluation of mobile IoT services.
  • This testbed facilitates the development and deployment of advanced smart city and smart transportation systems.