Cloud Node Auto-Scaling System Automation Based on Computing Workload Prediction

Cloud Node Auto-Scaling System Automation Based on Computing Workload Prediction

Auto-scaling systems in cloud computing are important for handling application workload fluctuations. This research uses machine learning to predict resource requirements based on workload work patterns and design an automatic scaling system. The dataset used includes features of node name, time, CP...

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Bibliographic Details
Main Authors: Tri Fidrian Arya, Reza Fuad Rachmad, Achmad Affandi
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2024-10-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
auto-scaling
cloud computing
forecasting
workload
Online Access:https://jurnal.iaii.or.id/index.php/RESTI/article/view/5928
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