probability theory and average arrival rate If the inter-arrival times are independent random variables, they must follow an   p(not more than t time period) = 1 – e– mt where m = average service rate.
{"Image DocumentName": "M/M/s Queueing System We define \uf06c = mean arrival rate \uf06d = mean service rate s = number of servers (s > 1) \uf072 = \uf06c / s\uf06d = utilization ratio.", "Image ImageDescription": "We require \uf06c < s\uf06d , that is \uf072 < 1 in order to have a steady state. Rate Diagram \u2026", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}