Cloud gaming (game streaming) platform
Why Choose This Project?
Cloud gaming is revolutionizing the way users play games by shifting the heavy processing workload from personal devices to the cloud. Instead of requiring powerful gaming PCs or consoles, players can stream games in real time to lightweight clients (laptops, tablets, or even smartphones).
This project teaches students real-time video streaming, GPU utilization in the cloud, low-latency networking, and scalable infrastructure management, making it highly relevant to both cloud computing and entertainment industries.
What You Get
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Cloud-hosted gaming servers with GPU acceleration
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Real-time video encoding/decoding for smooth gameplay
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Low-latency streaming using WebRTC or RTMP
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Cross-platform clients (web, mobile, desktop)
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User authentication and game library management
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Scalable infrastructure to handle multiple concurrent players
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Performance monitoring (latency, FPS, bandwidth usage)
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Cloud storage for saved games and player data
Key Features
| Feature | Description |
|---|---|
| GPU-Accelerated Game Servers | Run games on cloud VMs with NVIDIA/AMD GPUs |
| Real-Time Streaming | Use WebRTC/RTMP to stream gameplay video to clients |
| Multi-Device Support | Play on browser, mobile, or smart TVs with low-end hardware |
| Game Library Management | Users can browse and launch games hosted on the cloud |
| Cloud Saves | Store player progress, achievements, and settings in the cloud |
| Adaptive Bitrate Streaming | Adjust video quality dynamically based on bandwidth |
| Authentication & Billing | Secure user access with pay-per-play or subscription model |
| Monitoring & Analytics | Track latency, FPS, bandwidth usage, and concurrent users |
| Auto Scaling | Add/remove game servers based on real-time demand |
Technology Stack
| Layer | Tools/Technologies |
|---|---|
| Compute | AWS EC2 G4/G5 GPU Instances / Azure NV-series VMs |
| Game Streaming | NVIDIA CloudXR / Parsec / WebRTC |
| Video Encoding | NVENC (NVIDIA Encoder), FFmpeg |
| Storage | AWS S3 / Azure Blob Storage for game saves & assets |
| Authentication | AWS Cognito / Firebase Auth / OAuth 2.0 |
| Database | PostgreSQL / DynamoDB for user & game data |
| Networking | AWS Global Accelerator / CloudFront for low-latency delivery |
| Monitoring | AWS CloudWatch / Prometheus + Grafana |
| Billing | Stripe / Razorpay integration for subscriptions |
Cloud Services Used
| Service | Purpose |
|---|---|
| AWS EC2 (GPU) | Host cloud gaming servers with GPU acceleration |
| AWS S3 | Store game assets, save files, and replays |
| AWS CloudFront | Low-latency video delivery to global players |
| AWS Cognito | User authentication and identity management |
| AWS Lambda | Serverless backend for game session orchestration |
| AWS CloudWatch | Monitor latency, performance, and server health |
| AWS Auto Scaling | Scale servers based on active users |
| Optional: AWS GameLift | Game server orchestration and matchmaking |
Working Flow
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User Login & Game Selection
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Player logs in via web/mobile client using AWS Cognito/Firebase.
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Player selects a game from the library.
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Cloud Gaming Session Setup
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A GPU-enabled EC2 instance (or containerized server) is launched.
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Game assets are streamed from S3/Blob Storage.
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Game Streaming
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The game runs on the cloud server.
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Video output is encoded using NVENC and streamed to the client over WebRTC.
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User inputs (keyboard, mouse, controller) are sent back to the server with minimal latency.
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Adaptive Streaming
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CloudFront/Edge servers adjust video quality based on user bandwidth.
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Game Progress Storage
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User progress, achievements, and saves are stored in S3/DB.
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Monitoring & Scaling
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CloudWatch tracks performance and resource usage.
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Auto Scaling provisions more GPU servers if player demand increases.
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Session Termination
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When a player exits, the cloud server shuts down (to save costs).
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