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Load Balancer & Auto-Scaling: Queueing Theory Lab (2D)

2D load-balancer / auto-scaling lab: Poisson request arrivals, an M/M/c server pool with exponential service, a real utilization-threshold auto-scaling rule, and live queue-length / latency / server-count charts that verify Little's Law (L = λW) in real time.

AI & Machine Learning2DModerate60 FPS⇄ 3D version

This 2D companion strips the cloud-region visualization down to the queueing theory that actually governs it: a Poisson arrival process feeds a load balancer, a pool of servers process requests as an M/M/c queue with real exponential service-time math, and a documented threshold-based auto-scaling rule adds or removes instances as measured utilization crosses configurable bounds — with live charts of queue length, response time and server count so you can watch, and verify with Little's Law, how load, capacity and latency actually relate.

⚙ Under the hood

queueing theoryload balancingauto-scalingcloud computinglittle's lawpoisson process

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install