🌐 CDN & Cache Hit Rate

Cache configuration

Cache size / edge node 15

Eviction policy (drives the map)

Traffic

Popularity skew (Zipf exponent) 0.90

Request rate 12 req/s

Live stats — active policy

Hit rate

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Avg latency

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Cache utilization

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Requests served

Top requested content

A small share of content accounts for most requests — a Zipf / power-law popularity curve, the well-documented pattern behind real web and CDN traffic. Each edge node keeps a finite cache; a hit is served locally in a few ms, a miss pays the full round trip to the distant origin server and then inserts the item, evicting another per the LRU or LFU policy if the cache is full. Both policies run in parallel over identical traffic, so the chart compares them fairly — the map animates whichever one is selected.

Cyan/green = local cache hit (short trip) · amber = cache miss (full round trip to origin)

Live hit rate over time — cyan = LRU, amber = LFU, same request stream for both