⚡ Energy-Aware Cloud Resource Allocation using CloudSim

A simulation project built on CloudSim 3.0.3, focused on minimizing energy consumption and optimizing resource usage through intelligent VM allocation and real-time metrics monitoring.

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📘 Overview

This project simulates energy-aware cloud resource allocation in a datacenter environment. It demonstrates the effectiveness of dynamic VM placement strategies and live performance tracking in reducing energy wastage and improving load balancing.

Key aspects include:

• Dynamic VM allocation based on current host utilization
• Real-time monitoring of resource metrics
• Energy-efficient modeling and evaluation
• Full automation via CI/CD pipelines
• Data visualization and reporting

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✨ Features

• ✅ Energy-aware VM Allocation Policy
• 📊 Host-level real-time metrics (CPU, energy, VM load)
• ⚙️ Load balancing across heterogeneous hosts
• 🧪 Simulation execution via CI/CD (GitHub Actions)
• 📈 Automatic results generation in CSV/HTML

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🖥 Requirements

• Java JDK 11+
• CloudSim 3.0.3 (included in /lib)
• GitHub Actions for CI/CD

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🚀 Quick Start

✅ Build and Run Locally

# Clone the repository
git clone https://github.com/your-repo/cloudsim-energy-aware.git
cd cloudsim-energy-aware

# Compile and run the simulation
javac -Xlint:unchecked -cp "lib/cloudsim-3.0.3.jar" -d bin src/org/cloudbus/cloudsim/*.java
java -cp "bin;lib/cloudsim-3.0.3.jar" org.cloudbus.cloudsim.Main

✅ Run via CI/CD (GitHub Actions)

Just push to the main branch or open a PR. GitHub Actions will:

• Build the project
• Run the simulation
• Archive the results

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🔗 CI Status:

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🔧 Understanding the Simulation

1. Hosts and VMs are initialized with varying MIPS capacities.
2. VMs are dynamically allocated to the least-utilized suitable host.
3. Cloudlets (tasks) are assigned and executed on VMs.
4. The system records CPU utilization, energy consumption, and performance per host.

🔍 Metrics Collected

Metric	Description
CPU Utilization	% used = Σ VM MIPS / Host MIPS
Energy Used	Based on host power model and utilization
VM Distribution	How evenly VMs are allocated across hosts
Execution Time	Per-cloudlet processing duration

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📈 Sample Simulation Output

====== CLOUDSIM SIMULATION RESULTS ======

Cloudlet ID | Status   | VM ID | Execution Time
----------------------------------------
0           | SUCCESS  | 0     | 8.10s
1           | SUCCESS  | 1     | 16.10s
2           | SUCCESS  | 2     | 24.10s

Host ID | CPU Util | Energy Used
-------------------------------
0       | 100.00%  | 250.00 J
1       | 66.67%   | 183.33 J
2       | 50.00%   | 162.50 J

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🔄 CI/CD Pipeline

# .github/workflows/maven.yml
name: CloudSim CI

on: [push, pull_request]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v2
    - name: Set up JDK 11
      uses: actions/setup-java@v2
      with:
        java-version: '11'
    - name: Build and Test
      run: |
        mvn clean package
        java -cp target/classes:lib/cloudsim-3.0.3.jar org.cloudbus.cloudsim.Main
    - name: Archive results
      uses: actions/upload-artifact@v2
      with:
        name: simulation-results
        path: results/

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💡 Innovation Highlights

1. Energy-Aware VM Allocation

public boolean allocateHostForVm(Vm vm) {
    Host selectedHost = getHostList().stream()
        .filter(host -> host.isSuitableForVm(vm))
        .min(Comparator.comparingDouble(this::calculateCurrentUtilization))
        .orElse(null);
    // Allocation logic...
}

2. Power-Aware Energy Calculation

double energy = (idlePower + (maxPower - idlePower) * utilization) 
              * (simulationTime / 3600);

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🗂 Project Structure

├── src/
│   └── main/java/org/cloudbus/cloudsim/
│       ├── Main.java
│       └── VmAllocationPolicyEnergyAware.java
├── lib/
│   └── cloudsim-3.0.3.jar
├── results/
│   ├── summary.csv
│   └── index.html
├── .github/workflows/
│   └── cloudsim-ci.yml

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📌 Customization

To tweak parameters like:

• Number of VMs or Hosts
• Power model constants
• Task (cloudlet) specifications

Edit:

src/main/java/org/cloudbus/cloudsim/Main.java

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📍 Real-World Applications

• 🔋 Green Cloud Initiatives
• 📉 Datacenter Cost Optimization
• 🔄 Adaptive Resource Scheduling
• 🧠 Autonomous Infrastructure Management

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🤝 Contributing

We welcome your contributions!
Fork the repo → Create a branch → Make changes → Submit a Pull Request 🚀

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📬 Contact

For issues, suggestions, or questions — please open an issue.

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