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EOTE-FSC: An efficient offloaded task execution for fog enabled smart cities.

Faheem Nawaz Tareen1, Ahmad Naseem Alvi1, Badr Alsamani2

  • 1Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan.

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Summary
This summary is machine-generated.

This study introduces an Efficient Offloaded Task Execution for Fog enabled Smart cities (EOTE - FSC) system. EOTE - FSC balances task loads across fog nodes, significantly reducing execution time and prioritizing high-demand tasks for smart city applications.

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Area of Science:

  • Computer Science
  • Information Technology
  • Smart City Technologies

Background:

  • Smart cities leverage Information and Communication Technology (ICT) for improved urban living.
  • Internet of Things (IoT) sensor networks in smart cities face processing limitations, necessitating task offloading.
  • Fog computing nodes are introduced to reduce latency in task execution, but face challenges with uneven task distribution and prioritization.

Purpose of the Study:

  • To propose an Efficient Offloaded Task Execution for Fog enabled Smart cities (EOTE - FSC) framework.
  • To address the challenge of unbalanced task distribution among fog computing nodes.
  • To optimize the execution of high-priority tasks within their deadlines.

Main Methods:

  • Developed a load balancing mechanism by modifying the greedy algorithm for efficient task distribution.
  • Implemented a modified task sequencing algorithm with deadlines for fog nodes.
  • Compared EOTE - FSC's load balancing with Round Robin, Greedy, and their variants.
  • Evaluated EOTE - FSC's task execution against the First Come First Serve (FCFS) algorithm.

Main Results:

  • EOTE - FSC reduced maximum load on fog nodes by up to 29% compared to traditional algorithms.
  • Achieved significant reductions in maximum fog node load: 27.3% vs. Greedy, 23% vs. RR-LJF, and 24.4% vs. RR-SJF.
  • Successfully executed a higher number of high-priority tasks within deadlines compared to FCFS.

Conclusions:

  • The proposed EOTE - FSC effectively balances task loads across fog nodes in smart city environments.
  • EOTE - FSC enhances overall task execution efficiency and prioritizes critical tasks.
  • This approach contributes to more responsive and reliable smart city infrastructure.