Hacker News with Generative AI: Queueing Theory

Dice and Queues (justincartwright.com)
One of the key insights from queuing theory is that the average queue size for an unbounded system tends to increase significantly as utilization approaches 100%.
Anti-Schelling points and waiting for my barista-made coffee (interconnected.org)
The phase space of coffee is large enough that many people can wait for their orders without collision, and that means the barista doesn’t need to take names, and you don’t need to memorise your place in line.
Little's Law (wikipedia.org)
In mathematical queueing theory, Little's law (also result, theorem, lemma, or formula[1][2]) is a theorem by John Little which states that the long-term average number L of customers in a stationary system is equal to the long-term average effective arrival rate λ multiplied by the average time W that a customer spends in the system.