Optimizing Round Robin Scheduling with DBSCAN Clustering and Machine Learning

In the intricate realm of operating systems, scheduling algorithms play a pivotal role in resource allocation and process completion, directly impacting overall system performance. The quest for an efficient and optimized scheduling algorithm is perpetual in the pursuit of optimal operating system u...

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Bibliographic Details

Published in:	2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON) pp. 1 - 6
Main Authors:	Hossain, Md Mehrab, Biva, Nanziba Khan, Nahid, Nafiz, Rifat, Ariful Islam, Islam, Ashraful
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.11.2024
Subjects:	Clustering DBSCAN Dynamic scheduling Feature extraction Long short term memory LSTM Machine Learning Machine learning algorithms Operating systems Round robin Schedules Signal processing algorithms Switches System performance
Online Access:	Get full text
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