🖥️ Edge Computing Optimizer

Simulate edge-cloud network topology and optimize task offloading in real time

🎯 Choose Your Learning Mode

🤔 What Is Edge Computing?

Edge computing processes data near its source rather than in distant cloud data centers. By bringing computation to the "edge" of the network — in cell towers, routers, or local servers — response times drop from hundreds of milliseconds to single digits. It's like having a local expert on every street corner instead of calling headquarters across the country.

Why does this matter? With billions of IoT devices, autonomous vehicles, and real-time AI applications, sending everything to the cloud creates bottlenecks. Edge computing enables split-second decisions for self-driving cars, lag-free gaming, and instant factory automation — all while reducing bandwidth costs by up to 90%.

Low Latency
Sub-10ms response times for critical apps
🏭
IoT Processing
Real-time sensor data from millions of devices
🎮
Cloud Gaming
Lag-free game streaming at the edge
🚗
Autonomous Vehicles
Split-second driving decisions via V2X
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5G MEC
Multi-access Edge Computing on mobile
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Edge AI
On-device inference without cloud round-trip

🚀 Quick Start

⚙️ Network Settings

📋 Event Log

Network idle. Press Start to begin...
Avg Latency: 0 ms
Throughput: 0 req/s
Edge Util: 0%
Tasks Done: 0
Cloud Offloads: 0
Energy: 0.00 kWh