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Container Migration in the Fog: A Performance Evaluation.

Carlo Puliafito1,2, Carlo Vallati3, Enzo Mingozzi4

  • 1DINFO, University of Florence, Via di S. Marta 3, 50139 Florence, Italy. carlo.puliafito@ing.unipi.it.

Sensors (Basel, Switzerland)
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Summary
This summary is machine-generated.

Container migration in fog computing enhances Internet of Things (IoT) services. This study evaluates cold, pre-copy, post-copy, and hybrid migration techniques to determine optimal performance for diverse network and service conditions.

Keywords:
CRIUcontainerfog computinginternet of thingsmigrationmobilitypost-copypre-copy

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Networking

Background:

  • The Internet of Things (IoT) relies on connected devices with sensing and actuation capabilities.
  • Limited computing power in IoT devices necessitates complementary solutions like fog computing.
  • Fog computing extends cloud capabilities closer to IoT devices, offering essential computational resources.

Purpose of the Study:

  • To explore use cases for container migration in fog computing environments.
  • To provide an overview of state-of-the-art container migration techniques.
  • To conduct a performance evaluation of different container migration methods in fog computing.

Main Methods:

  • Review of containerization and migration techniques (cold, pre-copy, post-copy, hybrid).
  • Implementation of a real fog computing testbed.
  • Extensive performance evaluation of container migration techniques on the testbed.

Main Results:

  • Detailed performance analysis of cold, pre-copy, post-copy, and hybrid container migrations.
  • Identification of factors influencing the efficiency of each migration technique.
  • Empirical data clarifying the suitability of migration techniques based on network and service conditions.

Conclusions:

  • Container migration is crucial for enabling advanced IoT applications in fog environments.
  • The choice of migration technique significantly impacts performance in fog computing.
  • This research provides guidance for selecting the most appropriate container migration strategy for specific fog computing scenarios.