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Updated: Feb 3, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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qCon: QoS-Aware Network Resource Management for Fog Computing.

Cheol-Ho Hong1, Kyungwoon Lee2, Minkoo Kang3

  • 1School of Electrical and Electronics Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea. cheolhohong@cau.ac.kr.

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|October 17, 2018
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Summary
This summary is machine-generated.

Fog computing faces challenges with container network bandwidth control. We introduce qCon, a QoS-aware framework for effective outbound traffic management in fog environments.

Keywords:
IoT architectureQoS policyfog computingnetwork resource management

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Area of Science:

  • Computer Science
  • Networking
  • Distributed Systems

Background:

  • Fog computing utilizes edge resources for distributed data centers.
  • Lightweight virtualization (containers) is key for performance-limited fog devices.
  • Container outbound network bandwidth control is a significant challenge in fog computing.

Purpose of the Study:

  • To propose qCon, a QoS-aware network resource management framework for containers.
  • To address limitations in existing container bandwidth control solutions.
  • To enhance network performance for bandwidth-sensitive applications in fog environments.

Main Methods:

  • Developed qCon, a lightweight framework for managing outbound traffic rates in containers.
  • Implemented proportional share scheduling, minimum bandwidth reservation, and maximum bandwidth limitation.
  • Integrated qCon into a Linux bridge by interposing its scheduling interface on frame processing.

Main Results:

  • qCon provides effective network bandwidth control for containers in fog computing.
  • The framework supports simultaneous application of multiple QoS policies.
  • Demonstrated effectiveness on a Raspberry Pi 3 Model B running Docker.

Conclusions:

  • qCon offers a novel solution for QoS-aware network resource management in fog computing.
  • The lightweight design ensures suitability for performance-limited fog devices.
  • qCon improves network performance for demanding applications within containerized fog environments.