HomeIoT & Smart CityIoT Edge vs Cloud Latency Simulator

IoT Edge vs Cloud Latency Simulator

Interactive IoT data-pipeline simulator: watch sensor packets queue at an edge gateway or offload to the cloud, and see how arrival rate, edge processing capacity, cloud round-trip latency and overflow threshold change real queueing-theory latency.

IoT & Smart City3DModerate60 FPS📱 Mobile-adapted⇄ 2D version
internet-of-things ↗ Open standalone

Every connected sensor faces the same fork in the road: process the reading locally at an edge gateway, or ship it to the cloud. This simulator generates a real packet stream at a configurable arrival rate and routes each packet through a single-server FIFO queue at the edge — exactly the queueing-theory model (a bounded M/M/1-style queue with overflow) that real IoT gateways use — offloading to the cloud once the queue backs up past a threshold you control. Watch packets travel in 3D from the device to the edge gateway or the distant cloud node while live readouts track the edge queue length, average end-to-end latency, the fraction of traffic offloaded to the cloud, and total packets processed, so you can see directly how arrival rate, edge capacity, overflow threshold and cloud round-trip time trade off against each other.

⚙ Under the hood

Watch a real IoT data pipeline in 3D: sensor packets queue at an edge gateway or offload to the cloud, driven by a live single-server queueing model whose latency, offload rate and queue length respond to arrival rate, edge capacity, overflow threshold and cloud round-trip time.

iotedge-computingqueueing-theorynetworkingcloudlatency

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install

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