Improved time quantum length estimation for round robin scheduling algorithm using neural network
نویسندگان
چکیده
منابع مشابه
Estimation of Quantum Time Length for Round-robin Scheduling Algorithm using Neural Networks
The quantum time length is usually taken as a fixed value in all applications that use Round Robin (RR) scheduling algorithm. The determination of the optimal length of the quantum that results in a small average turn around time is very complicated because of the unknown nature of the tasks in the ready queue. The round robin algorithm becomes very similar to the first in first served algorith...
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CPU scheduling is the basis of multi-programmed operating systems. The main objective of scheduling algorithms is to reduce the response time, waiting time and to increase the throughput and CPU utilization. Round Robin assumes that all processes are equally important; each receives an equal portion (time slice) of the CPU. This will sometimes affect the performance of CPU. This paper considers...
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In Round Robin Scheduling, the time quantum is fixed and then processes are scheduled such that no process get CPU time more than one time quantum in one go. If time quantum is too large, the response time of the processes is too much which may not be tolerated in interactive environment. If time quantum is too small, it causes unnecessarily frequent context switch leading to more overheads res...
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ژورنال
عنوان ژورنال: Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
سال: 2019
ISSN: 2089-3272,2089-3272
DOI: 10.11591/ijeei.v7i2.464