๐Ÿ–ฅ๏ธ Edge Computing Optimizer

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

๐Ÿค” 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 โ€” in cell towers, routers, or local servers โ€” 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 โ€” all while reducing bandwidth costs by up to 90%.

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Low Latency
Sub-10ms response times for critical apps
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IoT Processing
Real-time sensor data from millions of devices
๐ŸŽฎ
Cloud Gaming
Lag-free game streaming at the edge
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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

๐Ÿš€ Quick Start

โš™๏ธ Network Settings

๐Ÿ“‹ 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