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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.
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.
Ignoring transmission time for a moment, the response time is the sum of the service time and wait time. The service time is the time it takes to do the work you requested. For a given request the service time varies little as the workload increases – to do X amount of work it always takes X amount of time.
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.
Highest response ratio next (HRRN) scheduling is a non-preemptive discipline. It was developed by Brinch Hansen as modification of shortest job next or shortest job first (SJN or SJF) to mitigate the problem of process starvation. In HRRN, the next job is not that with the shortest estimated run time, but that with the highest response ratio ...
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The nodes are indexed by processor "execution time" in nanoseconds. [3] A "maximum execution time" is also calculated for each process to represent the time the process would have expected to run on an "ideal processor". This is the time the process has been waiting to run, divided by the total number of processes.