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(e.g., for I/O). When a job completes or blocks, the next process on the waiting queue of processes is allowed to execute. As a process becomes unblocked, it goes to the end of the FCFS queue as if it had just arrived. While simple to implement, FCFS does not perform as well as other algorithms on the measures of turnaround time and throughput, particularly when some processes are much more compute-bound (need extended time with the CPU for computation) and others are more I/O-bound (use less CPU time, but require many interruptions for I/O). Shortest job first (SJF) With SJF, the operating system always chooses the shortest job to execute first. The merit of this plan is that such a scheme will insure the minimum average turnaround time and the maximum average throughput (in terms of jobs per hour). The challenge is to know in advance which job is the shortest! The usual solution to this problem of estimation is to require the user to declare the maximum execution time of the job. Since shorter jobs get executed first, the user is motivated to provide an estimate that is only as large as necessary. However, if the job exceeds the estimate provided by the user, the job is simply terminated, and the user learns to estimate more accurately in the future. Shortest remaining job first (SRJF) SRJF is a preemptive version of SJF. When a new process becomes ready, the operating system inspects both the newly ready process and the currently executing process, and chooses the process with the least time remaining to run. If the new process will complete more quickly than the one that was interrupted, the new process is scheduled to execute. Round robin (RR) Round robin scheduling is frequently used in interactive systems. As the name implies, each process is given a share of time with the CPU, and then the next process gets a turn. RR scheduling came into widespread use with timesharing systems, beginning in the mid 1960s. Each unit of time allocation is called a timeslice or quantum. RR schedulers can be tuned by changing the value of the quantum. If the quantum is sufficiently large, the system effectively becomes FCFS. With a smaller quantum, the system interleaves ready processes giving the illusion of simultaneous computation. If the value of the quantum is too small, the overhead of context switching among the processes can hurt overall system throughput (however measured). Most RR schedulers use a quantum value of 20 to 50 ms (Tanenbaum, Andrew, Modern Operating Systems, Saddle River, NS, Prentice Hall, 2001). Priority based Scheduling based strictly on process priorities is characteristic of real-time systems. The ready process with the highest priority is always the process chosen to execute. Usually real-time schedulers are also preemptive, so any time a higher priority process becomes ready, a context switch occurs and the higher priority process is dispatched. Priority-based scheduling is also used in other contexts. For instance, a system may use priority-based scheduling, but decrement a process s priority for every quantum of CPU time the process is granted. This is one way to implement a RR scheme, but using priorities instead of position in a queue to choose the process to execute. More commonly today, a system will implement multiple queues with different queue priorities, and then schedule processes from the highest priority queue that has processes ready to run. The scheduling rule within a particular queue may be RR or something else. Starvation (withholding of CPU access) is always a possibility with any priority-based scheme. A system that is at saturation (i.e., full capacity) will not be successful with any priority system. Imagine an airport commanded to handle more air traffic than it can accommodate. One can give priority for landing to those short of fuel, but if, in a given period of time, there are more airplanes to land than the airport can accommodate, very soon all the aircraft in the sky will be short of fuel.
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