Döner çekirdek cpu tarifeleme algoritmasının optimum parametre değerlerinin genetik algoritma ile bulunması

Yıl 2021, , 1013 - 1028, 05.03.2021

Selçuk Ökdem , Betül Koşmaz

https://doi.org/10.17341/gazimmfd.617418

Öz

 

İşlemcinin verimliliğini
arttırabilmek amacıyla bu çalışmada, Döner Çekirdek Algoritması, Genetik
Algoritma ile geliştirilmiştir. Kuyrukta bekleyen işlemler ve onlara ait
parametrelere uygun kuantum süresi seçilerek optimum değerlerin bulunması
hedeflenmiştir. 

Anahtar Kelimeler

Döner çekirdek, genetik algoritma, işlemci tarifeleme, işletim sistemi, optimizasyon

Finding the optimum parameter values of the round robin cpu scheduling algorithm with genetic algorithm

Öz

In order to increase the efficiency of the processor, in this study,
existing algorithms were examined. Round Robin Algorithm was developed with
Genetic Algorithm. It is aimed to find the optimum values by selecting the
quantum value according to the pending processes and their parameters. 

Anahtar Kelimeler

genetic algorithm, RR, CPU scheduling, OS, optimization

Kaynakça

• Alam, B., Fuzzy round robin CPU scheduling algorithm. Journal of Computer Science, 9 (8): 1079-1085, 2013.
• Kumarsaroj, S., Sharma, A. K., Chauhan, S. K., A novel CPU scheduling with variable time quantum based on mean difference of burst time, Proceeding - IEEE International Conference on Computing, Communication and Automation (ICCCA), 1342-1347, 2016.
• Parekh, H. B., Chaudhari, S., Improved round robin CPU scheduling algorithm: round robin, shortest job first and priority algorithm coupled to increase throughput and decrease waiting time and turnaround time, International conference on global trends in signal processing, ınformation computing and communication (ICGTSPICC) , 184–187, 2016.
• Fonseca, C. M., Fleming, P. J., Genetic algorithms for multiobjective optimization: Formulation, discussion, and generalization,. 5th International Conference on Genetic Algorithms, California, 416–423, 1993.
• Neshat, M., Sargolzaei, M., Najaran, A., Adeli, A., The new method of adaptive CPU scheduling using fonseca and fleming’s genetic algorithm, Journal of Theoretical and Applied Information Technology, 37 (1): 1-16, 2012.
• Siregar, M. U., A new approach to CPU scheduling algorithm: genetic round robin. International Journal of Computer Applications, 47 (19): 18-25, 2012.
• Dhumal, R. A., Maktum, T. A., Ragha, L., Dynamic quantum based genetic round robin algorithm, International Journal of Advanced Research in Computer and Communication Engineering, 3 (3): 5905-5908, 2014.
• Hussein, Q. M., Hasoon, A. N., Dynamic process scheduling using genetic algorithm, Annual Conference on New Trends in Information and Communications Technology Applications (NTICT), 111–115, 2017.
• Karaboğa, D., Yapay Zeka ve Optimizasyon Algoritmaları, Nobel Yayın Dağıtım, Ankara, 2011.
• Tanenbaum, A. S., Modern Operating Systems 2nd Edition, Pearson Education, USA, 2002.
• Silberschatz, A., Galvin, P. B., Gagne, G., Operating System Concepts Essentials, John Wiley & Sons, USA, 2014.
• Satman, M. H., Genetik Algoritmalar, Türkmen Kitabevi, İstanbul, 2016.
• Singh, A., Goyal, P., Batra, S., An optimized round robin scheduling algorithm for CPU scheduling, International Journal on Computer Science and Engineering(IJCSE), 02 (7): 2383–2385, 2010.
• Punhani, A., Kumar, S., Chaudhary, R., Sharma, A. K., A CPU scheduling based on multi criteria with the help of evolutionary algorithm, 2nd IEEE International Conference on Parallel, Distributed and Grid Computing, 730-734, 2012.
• Yadav, R. K. Y., An improved round robin scheduling algorithm for CPU scheduling, International Journal on Computer Science and Engineering, 02 (04): 1064-1066, 2010.
• Noon, A., Kalakech, A., Kadry S., A new round robin based scheduling algorithm for operating systems: dynamic quantum using the mean average, International Journal of Computer Science Issues, 8 (3): 224-229, 2011.