submited by

Style Pass

Queueing theory is the mathematical study of waiting lines, or queues. We use queueing theory in our software development, for purposes such as analyzing and optimizing our practices and processes, such as our customer service responsiveness, project management kanban planning, inter-process communication message queues, and devops continuous deployment pipelines.

Queue terminology is a big topic. This section has some of our common terminology. For the examples, we will use the idea of a customer waiting in line.

Little's law is a theorem by John Little which states: 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.

The system is “stable”, meaning the average age of items are neither increasing or decreasing, and the total number of items is roughly the same at the beginning and at the end.

Read more github.com/j...