LSTM-based prediction plus a four-level fuzzy classifier is applied to SDN server load balancing and is shown in a small simulation to avoid overload better than random or round-robin selection.
(2024, April)
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Optimizing Server Load Distribution in Multimedia IoT Environments through LSTM-Based Predictive Algorithms
LSTM-based prediction plus a four-level fuzzy classifier is applied to SDN server load balancing and is shown in a small simulation to avoid overload better than random or round-robin selection.