Optimizing the Allocation of Dynamic Workloads in Cloud Infrastructure through the Use of Machine Learning for Cost-Effective Cloud Resource Management

The effective administration of dynamic workloads has emerged as a major obstacle for enterprises moving their operations to cloud computing. Intelligent allocation algorithms that guarantee optimal performance while minimizing operational expenses are necessary due to the fluctuation in demand for...

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Veröffentlicht in:	2025 International Conference on Intelligent Control, Computing and Communications (IC3) S. 290 - 294
Hauptverfasser:	Sivamuni, Kalaimagal, S, Pugalendhi G, Pandi, V. Samuthira, D, Shobana, J, Lakshmi Priya, Archana, V
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 13.02.2025
Schlagworte:	Cloud computing Cloud Resource Management Cost Optimization Costs Dynamic scheduling Elasticity in Cloud Heuristic algorithms Load Balancing Machine learning algorithms Optimization Performance Monitoring Prediction algorithms Predictive analytics Real-time systems Resource Allocation Algorithms Resource management
Online-Zugang:	Volltext
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