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Waiting time and response time depend on the priority of the process. Higher-priority processes have smaller waiting and response times. Deadlines can be met by giving processes with deadlines a higher priority. Starvation of lower-priority processes is possible with large numbers of high-priority processes queuing for CPU time.
In real-time systems the response time of a task or thread is defined as the time elapsed between the dispatch (time when task is ready to execute) to the time when it finishes its job (one dispatch). Response time is different from WCET which is the maximum time the task would take if it were to execute without interference. It is also ...
One component that makes up the response time is the time spent executing the software – hence if the software worst case execution time can be determined, then the designer of the system can use this with other techniques such as schedulability analysis to ensure that the system responds fast enough.
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.
The response time is the sum of three numbers: [3] Service time - How long it takes to do the work requested. Wait time - How long the request has to wait for requests queued ahead of it before it gets to run. Transmission time – How long it takes to move the request to the computer doing the work and the response back to the requestor.
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).
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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]