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Prioritized Task Distribution Considering Opportunistic Fog Computing Nodes.

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Summary
This summary is machine-generated.

This study introduces a prioritized task distribution scheme for fog computing, optimizing performance by assigning delay-sensitive tasks to static nodes and less sensitive tasks to mobile nodes, thus improving quality of service (QoS).

Keywords:
fog computingopportunistic fogtask distribution

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Area of Science:

  • Computer Science
  • Distributed Computing

Background:

  • Cloud computing faces performance issues due to service latency and network load.
  • Fog computing offers a potential solution but can suffer from concentrated load on specific nodes, degrading quality of service (QoS), especially for delay-sensitive applications.

Purpose of the Study:

  • To propose a novel prioritized task distribution scheme for fog computing environments.
  • To address the challenge of load concentration and improve QoS for delay-sensitive services.

Main Methods:

  • Developed a prioritized task distribution scheme considering both static and opportunistic (mobile) fog nodes.
  • Classified tasks based on delay sensitivity, assigning time-critical tasks to static nodes and non-critical tasks to opportunistic nodes.
  • Created an analytic model to evaluate service response delay.

Main Results:

  • The proposed scheme effectively distributes tasks based on their delay requirements.
  • Analytic model validation through extensive simulations confirmed performance improvements.
  • Demonstrated reduced service response delay and outage probability compared to conventional schemes.

Conclusions:

  • The prioritized task distribution scheme enhances fog computing performance by intelligently utilizing static and opportunistic nodes.
  • The proposed approach is effective in mitigating QoS degradation for delay-sensitive services in fog environments.