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Python
Machine Learning, Cloud Computing
2026
ID: 1CP0644
Energy-Aware Green Cloud Computing Using Machine Learning for Resource Optimization
Keywords:
Green
Cloud
Computing,
Energy-Aware
Scheduling,
Cloud
Data
Centers,
Task
Scheduling,
Energy
Optimization,
Django
Project Synopsis & Overview
This project develops a Django-based simulation framework for energy-aware task scheduling in cloud data centers. It models virtual servers, computational tasks, CPU utilization, RAM requirements, and server power consumption. Round Robin and Energy-Aware scheduling strategies are implemented and compared using estimated energy consumption. An interactive dashboard presents server utilization, task allocation, energy usage, and savings for evaluating sustainable cloud infrastructure.
Complete Technical Specifications
| Project ID | 1CP0644 (DB ID: 644) |
| Project Title | Energy-Aware Green Cloud Computing Using Machine Learning for Resource Optimization |
| Domain Division | Python |
| Sub-Domain / Tech | Machine Learning, Cloud Computing |
| IEEE Year | 2026 |
| Package Price | ₹6500 |
| Created Date | Sep 23, 2026 |
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