CPU Scheduling Criteria: There are many scheduling algorithms and various criteria to judge their performance. Different algorithms may favor different types of processes. Some criteria are. as follows: • CPU utilization: CPU must be as busy as possible in performing different tasks. CPU utilization is more important in real-time system and multi-programmed systems. • Throughput: The number of processes executed in a specified time period is called throughput. The throughput increases .for short processes. It decreases if the size of processes is huge. • Turnaround Time: The amount of time that is needed to execute a process is called turnaround time. It is the actual job time plus the waiting time. • Waiting Time: The amount of time the process has waited is called waiting time. It is the turnaround time minus actual job time. • Response Time: The amount of time between a request is Submitted and the first response is produced is called response time. A CPU scheduling algorithm should try to maximize the following: • CPU utilization • Throughput A CPU scheduling algorithm should try to minimize the following: • Turnaround time • Waiting time • Response time by manish kumar gnit g.noida
What determines the theoretical throughput of a bus
Asymmetrical communications
Throughput in Oil & gas industry
In asymmetrical communication, downstream throughput is higher than upstream throughput.
Full duplex has the highest throughput concering communication.
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The throughput of a gigabit network connection can vary somewhat based on things such as the speed of the CPU, however, the average throughput is around 300Mb/s. The symbol for giga is G.
a static ip does not have any effect on throughput it simply mean your ip address will not change
The disadvantages of throughput accounting is that it is very costly. The system might require the retraining of the staff which is a costly exercise.
No, maximising throughput does not necessarily mean maximising turnaround time. Throughput is a measure of how many operations can be performed in a period of time. Turnaround is a measure of how long it takes to perform an operation. If you optimize latency and/or overhead, you can increase throughput and decrease turnaround time. On the other hand, if you create parallel processing, you can increase throughput without decreasing turnaround.
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