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Code of paper "A Scheduling Method for Tasks and Services in IIoT Multi-Cloud Environments"

Link to paper: https://ieeexplore.ieee.org/document/10257193


Implementation of Algorithms

  • First Fit: "algorithms/first_fit.go"
  • Random Fit: "algorithms/random_fit.go"
  • NSGA-II: "algorithms/nsga2.go"
  • HAGA: "algorithms/haga.go"
  • MCASGA: "algorithms/genetic.go"

Experiments

The paper's Subection IV. EVALUATION B. Weaken the Influence of Random Factors

  • Experiment code: "experiments/validateaverage/main.go"
  • Experiment data: "experiments-data/validate average"

The paper's Subection IV. EVALUATION C. MCASGA Operators

  • Experiment code: "experiments/optimizecpmp/main.go"
  • Experiment data: "experiments-data/Fitness values of different operators.txt"

The paper's Subection IV. EVALUATION D. Experiments and Metrics, E. Results

  • Experiment code: "experiments/continuousexperiment/main.go"
  • Experiment data:
    • 0% Tasks and 100% Services: "experiments-data/csv-and-matlab/0"
    • 25% Tasks and 75% Services: "experiments-data/csv-and-matlab/25"
    • 50% Tasks and 50% Services: "experiments-data/csv-and-matlab/50"
    • 75% Tasks and 25% Services: "experiments-data/csv-and-matlab/75"
    • 100% Tasks and 0% Services: "experiments-data/csv-and-matlab/100"

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Code about the paper "A Scheduling Method for Tasks and Services in IIoT Multi-Cloud Environments", migrated from "https://bitbucket.org/weifanzhang/gogeneticwrsp/src/main/".

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