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A Comparative Study Between Heuristic Task Scheduling and Optimization-Based Algorithms in Cloud Computing Environments

Java 100.00%

cloudsim-fcfs-sjf-rr-pso-'s Introduction

A Comparative Study between Heuristic Task Scheduling and Optimization-Based Algorithms in Cloud Computing Environments

Compared Algorithms:
  1. Particle Swarm Optimization (PSO)
  2. Round Robin Algorithm (RR)
  3. Shortest Job First (SJF)
  4. First Come First Serve (FCFS)
Performance Metrics:
  1. Makespan
  2. Average Completion Time
  3. Average Waiting Time
Settings:
  • Number of VMs: 20 , Homogeneous VMs
  • Timesharing policy is used for both host-level and task-level
  • PSO population size= 25 Particles
  • PSO iterations: 500
  • PSO objective: minimize(makespan)

Original implementation from: https://github.com/michaelfahmy/cloudsim-task-scheduling

cloudsim-fcfs-sjf-rr-pso-'s People

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