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A hybrid RL-GA-LSTM-AE framework for energy-aware and SLA-driven task scheduling in cloud computing environments

Bommineni Narsimhulu¹, T Sampath Kumar²

¹Research Scholar School of CS & AI, SR University, Warangal, 506371, India. bnreddy25@gmail.com.

Scientific Reports

|March 26, 2026

Summary

No abstract available in PubMed .

Keywords:

Cloud computing Energy efficiency Genetic algorithm Hybrid artificial intelligence LSTM autoencoder Predictive analytics Reinforcement learning Resource scheduling SLA optimisation

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