¶ … Processors
First-come -first -- served (FCFS)
This system is also called other names such as run-to-completion and run-until-done. It has its advantages and disadvantages. Advantages include the facts that it is the simplest scheduling algorithm with processes dispatched according to their arrival time on the queue and that once a process has a CPU it fulfills its task to completion. It is also simple to understand and write. In short, the FCS scheduling is fair and predictable.
Disadvantages, on the other hand, include the potential lengthiness of the tasks with some important jobs take secondary place to less important ones and longer jobs taking up an inordinate amount of time making shorter tasks wait.
I would not use FCFS in scheduling interactive users since it does not guarantee good response time and average time is often quite long. I would not use it in a modern operating system; it can, however, be embedded in other systems.
Round Robin scheduling (RRS)
Many prefer RRS since FCFS since processes whilst dispatched in a FIFO* manner are allocated a limited amount of CPU time that is called a "quantum" or a time-slice" of computer attention. If the process is incomplete by the time its CPU-allocation expires, the process is aborted and returned to the back of the queue whilst the task next in line is seen to. In this way, it has the advantages of FCFS without having its disadvantages.
On the other hand, setting the quantum too short causes too many context switches and redoes the efficiency of the CPU, but setting the quantum too long may cause the same problems as that of the FCFS. Either way, the average waiting time for RRS to complete its tasks is frequently quite long.
3. Shortest Process Next (SPN)-
Tasks that display shortest amount of time for completion are prioritized in order of importance so that the CPU processes tasks that have the smallest quantum first. I would use this process when running batch jobs where the amount of time of tasks is known ahead of time.
The disadvantages are that longer jobs may be more important than shorter ones, and that I would have to know, ahead of time, an approximation of the running time of each task. I cannot us SPN in a timesharing environment where reasonable response time must not be guaranteed nor can I use it in a development environment where I rarely know how my program will execute. However, in the production environment where the same jobs run regularly, I may be able to approximate performance based on past experience.
4. Shortest-Remaining Time Scheduling (SRT)
In this kind of scheduling, the process with the smallest approximation of run-time to completion is run next and the job is run to completion. The process may be preempted by a new arrival whose running time to completion is even shorter than that already in existence. SRT has higher overhead than SPN since it also handles occasional interruptions. The benefits are that arrival of small tasks will be seen to immediately, but longer jobs have longer waiting time therefore important tasks may be pushed to the side.
(Hot Recruiter; CPU Scheduling)
Rate Monotonic Scheduling (RMS) algorithm,
Static priorities are assigned to the task with the shorter the cycle, the higher the job's priority and preemption given to that task above that of the rest of the jobs. Rate monotonic analysis is used a scheduling guarantee for particular applications.
RMS works according to rate-monotonic analysis where threads have the following characteristics:
They do not share resources
Their deadlines are the same as periods
Tasks with highest static priority preempts other tasks
Thread operations such as context switch times are free and do not impact model.
RMS is a mathematical model that looks at a run modeling of all threads that are contained in the system and determines the amount of time needed for the threads in question. In mathematical terms, it resembles a queue of closed periods each with its own periodic task. In a case where deadlines are grater than periods this is known as an "open problem."
It resolves scheduling conflicts by static prioritization. This helps in many applications where resources are shared and RMS allocates priority inheritance in order to prevent deadlock. Other methods that it uses to prevent deadlock are to use lock-free algorithms or to avoid sharing a semaphore across threads that have different priorities. In this way, conflicts cannot happen in the first place.
Unix-like operating systems
I am familiar with...
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