Task Scheduling Based on Grey Wolf Optimization Algorithm for Smart Meter Embedded Operating System

Zhao Ting, Wang Shuang, Duan Xiaomeng

Integrated Circuits and Embedded Systems ›› 2022, Vol. 22 ›› Issue (10) : 55-57.

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PDF(997 KB)
Integrated Circuits and Embedded Systems ›› 2022, Vol. 22 ›› Issue (10) : 55-57.
TECHNOLOGY REVIEW

Task Scheduling Based on Grey Wolf Optimization Algorithm for Smart Meter Embedded Operating System

  • Zhao Ting, Wang Shuang, Duan Xiaomeng
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Abstract

In the paper,based on the advanced Gray Wolf algorithm,we study the scheduling principle of the service program nodes in the smart meter operating system.The algorithm completes the computational task assignment of the smart meter operating system,effectively shortens the task scheduling time consumption and ensures the real-time multi-task scheduling,realizes the scheduling balance of the system.The effectiveness of the algorithm is verified through simulation experiments.

Key words

gray wolf algorithm / load balancing / embedded operating system

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Zhao Ting, Wang Shuang, Duan Xiaomeng. Task Scheduling Based on Grey Wolf Optimization Algorithm for Smart Meter Embedded Operating System[J]. Integrated Circuits and Embedded Systems. 2022, 22(10): 55-57

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