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  2. Fair-share scheduling - Wikipedia

    en.wikipedia.org/wiki/Fair-share_scheduling

    On the other hand, if a new user starts a process on the system, the scheduler will reapportion the available CPU cycles such that each user gets 20% of the whole (100% / 5 = 20%). Another layer of abstraction allows us to partition users into groups, and apply the fair share algorithm to the groups as well.

  3. Completely Fair Scheduler - Wikipedia

    en.wikipedia.org/wiki/Completely_Fair_Scheduler

    The complexity of the algorithm that inserts nodes into the cfs_rq runqueue of the CFS scheduler is O(log N), where N is the total number of entities. Choosing the next entity to run is made in constant time because the leftmost node is always cached.

  4. 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

  5. Scheduling analysis real-time systems - Wikipedia

    en.wikipedia.org/wiki/Scheduling_analysis_real...

    The criteria of a real-time can be classified as hard, firm or soft.The scheduler set the algorithms for executing tasks according to a specified order. [4] There are multiple mathematical models to represent a scheduling System, most implementations of real-time scheduling algorithm are modeled for the implementation of uniprocessors or multiprocessors configurations.

  6. Max-min fairness - Wikipedia

    en.wikipedia.org/wiki/Max-min_fairness

    Fair queuing is an example of a max-min fair packet scheduling algorithm for statistical multiplexing and best-effort networks, since it gives scheduling priority to users that have achieved lowest data rate since they became active. In case of equally sized data packets, round-robin scheduling is max-min fair.

  7. Optimal job scheduling - Wikipedia

    en.wikipedia.org/wiki/Optimal_job_scheduling

    Optimal job scheduling is a class of optimization problems related to scheduling. The inputs to such problems are a list of jobs (also called processes or tasks) and a list of machines (also called processors or workers). The required output is a schedule – an assignment of jobs to machines. The schedule should optimize a certain objective ...

  8. 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:

  9. 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)