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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Veröffentlicht in:	2024 IEEE International Conference on Signal Processing, Information, Communication and Systems (SPICSCON) S. 1 - 6
Hauptverfasser:	Hossain, Md Mehrab, Biva, Nanziba Khan, Nahid, Nafiz, Rifat, Ariful Islam, Islam, Ashraful
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2024
Schlagworte:	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-Zugang:	Volltext
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