Shortest Job First (SJF) scheduling and priority scheduling are both CPU scheduling algorithms used in operating systems to manage process execution. SJF selects processes based on the shortest estimated execution time, while priority scheduling selects processes based on their assigned priority levels. In some cases, SJF can be viewed as a specific type of priority scheduling where the priority is inversely related to the job length—the shorter the job, the higher its priority. Thus, both approaches aim to optimize CPU utilization but differ in the criteria they use for process selection.
disadvantages of priority scheduling
The priority scheduling algorithm is a kind of CPU scheduling algorithm where the processes that wait for the CPU are scheduled according to their priority..
Advantages of Priority Scheduling-1.Simplicity.2.Reasonable support for priority.3.Suitable for applications with varying time and resource requirements.Disadvantages of Priority Scheduling-1.Indefinite blocking or starvation.2.A priority scheduling can leave some low priority waiting processes indefinitely for CPU.3.If the system eventually crashes then all unfinished low priority processes gets lost.
In that work system, the shortest job gets higher priority because more gets accomplished in any amount of time. If you have two hours to do 4 tasks and one task will take five minutes, one will take 30 minutes, one will take an hour and one will take an hour and a half, by using the shortest job first method, you will accomplish three tasks in those two hours and part of the fourth task. If you do the longest job first, you will accomplish the task that takes an hour and a half, then only part of the one hour task, but nothing on the 5 minute or 30 minute tasks. That means that by doing the shortest jobs first, you will accomplish three times as many tasks as you will by doing the longest jobs first.
Yes. For Example, many operating systems have two schedulers, one for high priority\realtime processes such as gui elements and another for low priority\background processes. The high priority\gui scheduler will usually use a scheme such as SRTF (shortest remaining time first) or SJF (shortest job first), while the low priority\background scheduler may use a scheme such as RR (round robin).
In scheduling algorithms, the priority method assigns tasks based on their importance, while the First-Come, First-Serve (FCFS) algorithm processes tasks in the order they arrive, regardless of priority. This means that in FCFS, a lower-priority task can delay a higher-priority one if it arrives first. Consequently, the two algorithms can lead to different performance outcomes, particularly in terms of response time and overall system efficiency. In contrast, priority scheduling aims to minimize wait times for high-priority tasks, potentially at the cost of lower-priority ones.
In priority scheduling, if two processes have the same priority, some operating systems may use a secondary criteria, such as time since last execution or process ID, to determine the order in which they are executed. Alternatively, the operating system may use a first-come-first-serve basis for scheduling processes with the same priority.
find primitive sjf? with avg waiting time and TAW? P Bust TIme Arivel time p1 5 1 p2 3 0 p3 2 2 p4 4 3 p5 8 2
Cooperative schedulingPreemptive scheduling Rate-monotonic schedulingRound-robin schedulingFixed priority pre-emptive scheduling, an implementation of preemptive time slicingFixed-Priority Scheduling with Deferred PreemptionFixed-Priority Non-preemptive SchedulingCritical section preemptive schedulingStatic time schedulingEarliest Deadline First approachStochastic digraphs with multi-threaded graph traversal
Priority based algorithm
Linux usually uses a pre-emptive scheduler, which means a process will run until either it makes a system call, or its time slice runs out. This is as opposed to a cooperative scheduler, which allows a process to run until it deems itself ready to go from running to ready state. Needless to say, preemption is a much better model, keeping misbehaving processes from starving other processes of CPU time.
Yes, a scheduling algorithm can be designed to maximize throughput, which refers to the number of tasks completed in a given time period. Such algorithms prioritize task execution based on factors like resource availability, task priority, and execution time, aiming to minimize idle time and maximize resource utilization. Examples include Shortest Job First (SJF) and Round Robin scheduling. However, achieving maximum throughput may require trade-offs, such as increased waiting times for some tasks.