here are two major types of algorithm scheduling in C + +. These include:
- Preemptive scheduling: In this scheduling process, the algorithms to be executed are usually assigned according to their priorities. In some instances, it is important to execute algorithms that have a higher priority before those that have a lower priority, even if a lower priority algorithm is still being executed. In such a case, the lower priority algorithm will hold for a while and resume once the higher priority algorithm has finished executing. For assistance with projects associated with preemptive scheduling, contact our scheduling algorithms in C++ assignment help
- Non-preemptive scheduling: In non-preemptive scheduling, the CPU is allocated to a particular process. To release the CPU, the algorithm that is running in it has to terminate or switch context. Non-preemptive scheduling is used in a wide range of hardware platforms today. This is because it does not require any special hardware, for instance, a timer, like its preemptive counterpart. To get professional aid with projects related to non-preemptive scheduling, avail our scheduling algorithms in C++ homework help
How do you know if scheduling is preemptive or non-preemptive?
To find out whether an algorithm scheduling in C++ is preemptive or non-preemptive, consider the following:
1. An algorithm shifts from the execution to the waiting state
2. The algorithm that is already running shifts from the execution state to the ready state
3. The algorithm shifts from the waiting (idle) state to the ready state
4. An algorithm has finished executing and has been terminated
Scheduling is said to be preemptive if only conditions 2 and 3 apply. If conditions 1 and 4 apply, then the scheduling is non-preemptive. To have this area explained further by a professional, connect with our scheduling algorithms in C++ assignment help experts
Algorithm scheduling criteria in C + +
When it comes to C + + programming or any other computing language, the CPU tries to maximize or minimize the number of elements to ensure efficient execution of programs. These elements include:
- CPU utilization: This is maximized to make sure that the CPU does not stay idle at any given time. CPU utilization is measured in percentage and it can range between 40 % for low-level systems and 90 % for high-level systems.
- Throughput: Another element that the CPU maximizes is the number of algorithms that finish execution in a given unit of time, commonly known as throughput.
- Waiting time: CPU minimizes the amount of time an algorithm waits in the ready to execute queue. This is also referred to as the waiting time.
- Response time: Another element minimized by the CPU is the response time. This is usually the duration taken between the time a request for algorithm scheduling is submitted and when a response is produced.
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