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An Efficient Online Prediction of Host Workloads Using Pruned GRU Neural Nets

https://doi.org/10.2139/ssrn.4490699
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inferred← citeshttps://doi.org/10.2139/ssrn.4104271openalex-extracted
Gt-Scheduler: A Hybrid Graph-Partitioning and Tabu-Search Based Scheduling of Distributed Data Stream Processing Operators
inferred← citeshttps://doi.org/10.1007/s10586-023-04260-yopenalex-snapshot
GT-scheduler: a hybrid graph-partitioning and tabu-search based task scheduler for distributed data stream processing systems
inferred← citeshttps://doi.org/10.1016/j.dajour.2024.100463openalex-snapshot
A workload prediction model for reducing service level agreement violations in cloud data centers
inferred← citeshttps://doi.org/10.1109/iccia67866.2025.00030openalex-snapshot
A Conditional LSTM-Based Model for Memory Prediction in Edge Devices
inferred← citeshttps://doi.org/10.1109/icde65706.2026.00077openalex-snapshot
LAMP: A Dual-Mode Framework for Database Workload Memory Prediction
inferred← citeshttps://doi.org/10.1109/icicnct66124.2025.11232959openalex-snapshot
LSTM Based Workload Prediction Enhancement in Multi-Tenant Cloud Data Center Environment
inferred← citeshttps://doi.org/10.1109/ictc67375.2025.11292159openalex-snapshot
A Novel DPD Model Based on Residual Input GRU Deployed on FPGA and Its Compression Strategy
inferred← citeshttps://doi.org/10.32604/jai.2025.071133openalex-snapshot
Analysis and Prediction of Real-Time Memory and Processor Usage Using Artificial Intelligence (AI)
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