enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. O(1) scheduler - Wikipedia

    en.wikipedia.org/wiki/O(1)_scheduler

    The running time of an O(n 2) algorithm grows quadratically. If it is possible to establish a constant upper bound on the running time of an algorithm, it is considered to be O(1) (one might say it runs in "constant time"). That is, an O(1) algorithm is guaranteed to complete in a certain amount of time regardless of the size of the input. [5]

  3. Earliest deadline first scheduling - Wikipedia

    en.wikipedia.org/wiki/Earliest_deadline_first...

    Earliest deadline first (EDF) or least time to go is a dynamic priority scheduling algorithm used in real-time operating systems to place processes in a priority queue. Whenever a scheduling event occurs (task finishes, new task released, etc.) the queue will be searched for the process closest to its deadline.

  4. Fair-share scheduling - Wikipedia

    en.wikipedia.org/wiki/Fair-share_scheduling

    Fair-share scheduling is a scheduling algorithm for computer operating systems in which the CPU usage is equally distributed among system users or groups, as opposed to equal distribution of resources among processes. [1]

  5. Longest-processing-time-first scheduling - Wikipedia

    en.wikipedia.org/wiki/Longest-processing-time...

    Longest-processing-time-first (LPT) is a greedy algorithm for job scheduling. The input to the algorithm is a set of jobs, each of which has a specific processing-time. There is also a number m specifying the number of machines that can process the jobs. The LPT algorithm works as follows:

  6. I/O scheduling - Wikipedia

    en.wikipedia.org/wiki/I/O_scheduling

    To minimize the effect this has on system performance, most I/O schedulers implement a variant of the elevator algorithm that reorders the incoming randomly ordered requests so the associated data would be accessed with minimal head movement. I/O schedulers can have many purposes depending on the goals; common purposes include the following

  7. Single-machine scheduling - Wikipedia

    en.wikipedia.org/wiki/Single-machine_scheduling

    Single-machine scheduling or single-resource scheduling is an optimization problem in computer science and operations research.We are given n jobs J 1, J 2, ..., J n of varying processing times, which need to be scheduled on a single machine, in a way that optimizes a certain objective, such as the throughput.

  8. Round-robin scheduling - Wikipedia

    en.wikipedia.org/wiki/Round-robin_scheduling

    A Round Robin preemptive scheduling example with quantum=3. Round-robin (RR) is one of the algorithms employed by process and network schedulers in computing. [1] [2] As the term is generally used, time slices (also known as time quanta) [3] are assigned to each process in equal portions and in circular order, handling all processes without priority (also known as cyclic executive).

  9. Rate-monotonic scheduling - Wikipedia

    en.wikipedia.org/wiki/Rate-monotonic_scheduling

    In computer science, rate-monotonic scheduling (RMS) [1] is a priority assignment algorithm used in real-time operating systems (RTOS) with a static-priority scheduling class. [2] The static priorities are assigned according to the cycle duration of the job, so a shorter cycle duration results in a higher job priority.