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      • The amount of time taken by the dispatcher to pause one process and start another is called dispatch latency. The process of saving the state of a previously running process or thread and loading the initial or previously saved state of a new process by the dispatcher. Dispatch latency is a time value.
      www.geeksforgeeks.org › difference-between-dispatch-latency-and-context-switch-in-operating-systems
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  2. Apr 13, 2023 · Dispatch latency consists of an old task releasing its resources (wakeup) and then rescheduling the new task (dispatch), all of this also comes under context switching. Let’s look at an example to understand context switching and dispatch latency.

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  4. The term dispatch latency describes the amount of time a system takes to respond to a request for a process to begin operation. With a scheduler that is written specifically to honor application priorities, real-time applications can be developed with a bounded dispatch latency.

  5. The total dispatch latency ( context switching ) consists of two parts: Removing the currently running process from the CPU, and freeing up any resources that are needed by the ISR. This step can be speeded up a lot by the use of pre-emptive kernels.

    • Basic Concepts¶
    • Scheduling Criteria¶
    • Scheduling Algorithms¶
    • Thread Scheduling¶
    • Multiple-Processor Scheduling¶
    • Real-Time CPU Scheduling¶
    • Algorithm Evaluation¶

    The objective of multiprogramming is to have some process running at all times, to maximize CPU utilization. A process is executed until it must wait, typically for the completion of some I/O request.

    CPU utilization
    Throughput
    Turnaround time: Completion Time−Start Time\text{Completion Time} - \text{Start Time}Completion Time−Start Time.
    Waiting time: The sum of the periods spent waiting in the ready queue.

    6.3-1 First-Come, First-Served Scheduling¶

    1. The process which requests the CPU first is allocated the CPU. 2. Properties: 2.1. Nonpreemptive FCFS. 2.2. CPU might be hold for an extended period. 3. Critical problem: Convoy effect! 4. Example: 4.1. Given processes: 4.2. Consider order: P1→P2→P3P_1 \to P_2 \to P_3P1​→P2​→P3​: 4.2.1. Gantt chart: 4.2.2. Average waiting time = (0 + 24 + 27) / 3 = 17 ms. 4.3. Consider order: P2→P3→P1P_2 \to P_3 \to P_1P2​→P3​→P1​: 4.3.1. Gantt chart: 4.3.2. Average waiting time = (0 + 3 + 6) / 3 = 9 ms.

    6.3.2 Shortest-Job-First Scheduling¶

    1. Properties: 1.1. Nonpreemptive SJF 1.2. Shortest-next-CPU-burst first 2. Problem: Measure the future! 3. Example 1: 3.1. Given processes: 3.2. By SJF scheduling: 3.2.1. Gantt chart: 3.2.2. Average waiting time = (3 + 16 + 9 + 0) / 4 = 7 ms. 1. Example 2: 1.1. Given processes:By preemptive SJF scheduling: 1.1. Gantt chart: 1.2. Average waiting time = [(10 - 1) + (1 - 1) + (17 - 2) + (5 - 3)] / 4 = 26 / 4 = 6.5 ms.

    6.3.3 Priority Scheduling¶

    1. Properties: 1.1. CPU is assigned to the process with the highest priority — A framework for various scheduling algorithms: 1.1.1. FCFS: Equal-priority with tie-breaking 1.1.2. SJF: Priority = 1 / next CPU burst length 2. Example: 2.1. Given processes: 2.2. By preemptive SJF scheduling: 2.2.1. Gantt chart: 2.2.2. Average waiting time = (6 + 0 + 16 + 18 + 1) / 5 = 8.2 ms.

    6.4.2 Pthread Scheduling¶

    1. PCS: PTHREAD_SCOPE_PROCESS 2. SCS: PTHREAD_SCOPE_SYSTEM 2 methods: 1. pthread_attr_setscope(pthread attr_t *attr, int scope) 2. pthread_attr_getscope(pthread attr_t *attr, int *scope)

    6.5.1 Approaches to Multiple-Processor Scheduling¶

    1. Asymmetric multiprocessing: only the master serverprocess accesses the system data structures, reducing the need for data sharing. 2. Symmetric multiprocessing (SMP): each processor is self-scheduling.

    6.5.2 Processor Affinity¶

    1. Soft affinity 2. Hard affinity (e.g. Linux: sched_setaffinity())

    6.5.3 Load Balancing¶

    On systems with a common run queue, load balancing is often unnecessary, because once a processor becomes idle, it immediately extracts a runnable process from the common run queue. 1. Push migration: pushing processes from overloaded to less-busy processors. 2. Pull migration: pulling a waiting task from a busy processor.

    Soft real-time systems
    Hard real-time systems

    6.8.2 Queueing Models¶

    1. Little's formula (nnn: # of processes in the queue, λ\lambdaλ: arrival rate, WWW: average waiting time in the queue.) n=λ×W.n = \lambda \times W.n=λ×W.

    6.8.3 Simulations¶

    1. Properties: 1.1. Accurate but expensive 2. Procedures: 2.1. Program a model of the computer system 2.2. Drive the simulation with various data sets

  6. Oct 20, 2018 · I am currently studying operating systems from Silberschatz's book and have come across the "Dispatch Latency" concept. The book defines it as follows: The time it takes for the dispatcher to stop one process and start another running is known as the dispatch latency.

  7. The key difference between scheduler and Dispatcher is that the scheduler selects a process out of several processes to be executed. In contrast, the Dispatcher allocates the CPU for the selected process by the scheduler.

  8. May 5, 2019 · Managing dispatch latency: Dispatch latency is calculated as the time it takes to stop one process and start another. The lower the dispatch latency, the more efficient the software for the same hardware configuration.

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