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ATS:A Novel time-Sharing CPU Scheduling Algorithm Based on Features Similarities

Computers, Materials & Continua 2022年第3期70卷 6271-6288页

作者： Samih M.Mostafa Sahar Ahmed Idris Manjit Kaur Faculty of Computers and Information South Valley UniversityQena83523Egypt College of Industrial Engineering King Khalid UniversityAbhaSaudi Arabia School of Engineering and Applied Sciences Bennett UniversityGreater NoidaIndia

Minimizing time cost in time-shared operating systems is considered basic and essential task,and it is the most significant goal for the researchers who interested in CPU scheduling *** time,turnaround time,and number of context switches are themost time cost criteria used to compare between CPU scheduling *** scheduling algorithms are divided into non-preemptive and ***(RR)algorithm is the most famous as it is the basis for all the algorithms used in *** this paper,the authors proposed a novel CPU scheduling algorithm based on *** proposed algorithm is called Adjustable time Slice(ATS).It reduces the time cost by taking the advantage of the low overhead of RR *** addition,ATS favors short processes allowing them to run longer time than given to long *** specific characteristics of each process are;its CPU execution time,weight,time slice,and number of context *** clusters the processes in groups depending on these *** traditionalRRassigns fixed time slice for each *** the other hand,dynamic variants of RR assign time slice for each process differs from other *** essential difference between ATS and the other methods is that it gives a set of processes a specific time based on their similarities within the same *** authors compared between ATS with five popular scheduling algorithms on nine datasets of *** datasets used in the comparison vary in their *** evaluation was measured in term of time cost and the experiments showed that the proposed algorithm reduces the time cost.

关键词： Clustering CPU scheduling round robin average turnaround time average waiting time

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