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Microservice Application Scheduling in Multi-Tiered Fog-Computing-Enabled IoT.

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  • 1Department of Computer Science, Faculty of Computing and Information Technology, International Islamic University, Islamabad 44000, Pakistan.

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Summary
This summary is machine-generated.

This study optimizes fog computing for low-latency applications by migrating microservices to the network edge. The proposed scheduling approach significantly enhances application performance, network usage, and energy efficiency.

Keywords:
Internet of Thingsconstrained devicesdistributed application executionfog computingmicroservice application schedulingservice delay

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Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Fog computing extends cloud capabilities to the network edge for reduced latency.
  • Microservice architecture enhances IoT applications with scalability and maintainability.
  • Utilizing underutilized edge resources is crucial for meeting application demands.

Purpose of the Study:

  • To investigate idle resources at the network edge for application execution.
  • To propose a scheduling approach for optimal microservice migration in fog computing.
  • To address latency and bandwidth requirements for edge applications.

Main Methods:

  • Developed a scheduling technique for upward microservice migration in a multi-tiered fog infrastructure.
  • Leveraged a microservice architecture for granular service breakdown.
  • Validated the approach using the iFogSim2 simulator.

Main Results:

  • The proposed technique significantly improved application latency by 66.92%.
  • Network usage was reduced by 69.83% compared to edgewards approaches.
  • Energy consumption decreased by 4.16%.

Conclusions:

  • The proposed scheduling approach effectively optimizes network edge resource utilization.
  • This method meets stringent latency requirements for edge applications.
  • The technique offers substantial improvements in performance, network efficiency, and energy conservation.