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  2. Queueing theory - Wikipedia

    en.wikipedia.org/wiki/Queueing_theory

    Various scheduling policies can be used at queueing nodes: First in, first out First in first out (FIFO) queue example Also called first-come, first-served (FCFS), [21] this principle states that customers are served one at a time and that the customer that has been waiting the longest is served first. [22] Last in, first out

  3. Scheduling (computing) - Wikipedia

    en.wikipedia.org/wiki/Scheduling_(computing)

    In packet-switched computer networks and other statistical multiplexing, the notion of a scheduling algorithm is used as an alternative to first-come first-served queuing of data packets. The simplest best-effort scheduling algorithms are round-robin , fair queuing (a max-min fair scheduling algorithm), proportional-fair scheduling and maximum ...

  4. FIFO (computing and electronics) - Wikipedia

    en.wikipedia.org/wiki/FIFO_(computing_and...

    Such processing is analogous to servicing people in a queue area on a first-come, first-served (FCFS) basis, i.e. in the same sequence in which they arrive at the queue's tail. FCFS is also the jargon term for the FIFO operating system scheduling algorithm, which gives every process central processing unit (CPU) time in the order in which it is ...

  5. I/O scheduling - Wikipedia

    en.wikipedia.org/wiki/I/O_scheduling

    Common scheduling disciplines include the following: Random scheduling (RSS) First In, First Out , also known as First Come First Served (FCFS) Last In, First Out ; Shortest seek first, also known as Shortest Seek / Service Time First (SSTF) Elevator algorithm, also known as SCAN (including its variants, C-SCAN, LOOK, and C-LOOK)

  6. M/M/1 queue - Wikipedia

    en.wikipedia.org/wiki/M/M/1_queue

    A single server serves customers one at a time from the front of the queue, according to a first-come, first-served discipline. When the service is complete the customer leaves the queue and the number of customers in the system reduces by one. The buffer is of infinite size, so there is no limit on the number of customers it can contain.

  7. Kendall's notation - Wikipedia

    en.wikipedia.org/wiki/Kendall's_notation

    It has since been extended to A/S/c/K/N/D where K is the capacity of the queue, N is the size of the population of jobs to be served, and D is the queueing discipline. [ 2 ] [ 3 ] [ 4 ] When the final three parameters are not specified (e.g. M/M/1 queue ), it is assumed K = ∞, N = ∞ and D = FIFO .

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  9. Multilevel feedback queue - Wikipedia

    en.wikipedia.org/wiki/Multilevel_feedback_queue

    Processes in the base level queue can also be scheduled on a first come first served basis. [6] Optionally, if a process blocks for I/O, it is promoted one level, and placed at the end of the next-higher queue. This allows I/O bound processes to be favored by the scheduler and allows processes to escape the base-level queue.