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From Reactive Scheduling to Adaptive Coordination: A Predictive - Cognitive System for Resource‑Aware Task Placement in Edge Environments

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inferredcites →https://doi.org/10.1007/978-3-030-63058-4_6openalex-snapshot
Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge
inferredcites →https://doi.org/10.1007/978-3-032-15632-7_9openalex-snapshot
LLM-Based Multi-agent Systems: Frameworks, Evaluation, Open Challenges, and Research Frontiers
inferredcites →https://doi.org/10.1007/s00521-021-05770-9openalex-snapshot
An efficient forecasting approach for resource utilization in cloud data center using CNN-LSTM model
inferredcites →https://doi.org/10.1007/s10586-022-03747-4openalex-snapshot
GMM-LSTM: a component driven resource utilization prediction model leveraging LSTM and gaussian mixture model
inferredcites →https://doi.org/10.1007/s10586-024-04686-yopenalex-snapshot
Edge AI: A Taxonomy, Systematic Review and Future Directions
inferredcites →https://doi.org/10.1007/s10586-024-04828-2openalex-snapshot
Reinforcement learning-based task scheduling for heterogeneous computing in end-edge-cloud environment
inferredcites →https://doi.org/10.1007/s10844-025-00940-wopenalex-snapshot
Generating textual explanations for scheduling systems leveraging the reasoning capabilities of large language models
inferredcites →https://doi.org/10.1007/s11241-023-09402-4openalex-snapshot
Supporting AI-powered real-time cyber-physical systems on heterogeneous platforms via hypervisor technology
inferredcites →https://doi.org/10.1016/j.comnet.2024.110555openalex-snapshot
An intelligent task offloading method based on multi-agent deep reinforcement learning in ultra-dense heterogeneous network with mobile edge computing
inferredcites →https://doi.org/10.1016/j.future.2011.04.017openalex-snapshot
Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
inferredcites →https://doi.org/10.1016/j.iotcps.2023.02.004openalex-snapshot
Edge AI: A survey
inferredcites →https://doi.org/10.1016/j.sysarc.2019.02.001openalex-snapshot
An offloading method using decentralized P2P-enabled mobile edge servers in edge computing
inferredcites →https://doi.org/10.1016/j.sysarc.2021.102225openalex-snapshot
A Survey on Task Offloading in Multi-access Edge Computing
inferredcites →https://doi.org/10.1038/s41467-019-12490-1openalex-snapshot
Data driven discovery of cyber physical systems
inferredcites →https://doi.org/10.1038/s41598-024-51466-0openalex-snapshot
A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques
inferredcites →https://doi.org/10.1109/access.2018.2882800openalex-snapshot
Decentralized Computation Offloading and Resource Allocation for Mobile-Edge Computing: A Matching Game Approach
inferredcites →https://doi.org/10.1109/ccgrid64434.2025.00048openalex-snapshot
Private Distributed Resource Management Data: Predicting CPU Utilization with Bi-LSTM and Federated Learning
inferredcites →https://doi.org/10.1109/comst.2017.2762345openalex-snapshot
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions
inferredcites →https://doi.org/10.1109/comst.2025.3587225openalex-snapshot
Edge-Enhanced Intelligence: A Comprehensive Survey of Large Language Models and Edge-Cloud Computing Synergy
inferredcites →https://doi.org/10.1109/jiot.2022.3189055openalex-snapshot
Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile-Edge Computing Networks
inferredcites →https://doi.org/10.1109/jsac.2022.3142348openalex-snapshot
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching
inferredcites →https://doi.org/10.1109/mwc.2016.1500356wcopenalex-snapshot
Machine Learning Paradigms for Next-Generation Wireless Networks
inferredcites →https://doi.org/10.1109/ojcoms.2024.3456549openalex-snapshot
LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness
inferredcites →https://doi.org/10.1109/tc.1980.1675516openalex-snapshot
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
inferredcites →https://doi.org/10.1145/3719664openalex-snapshot
A Review on Edge Large Language Models: Design, Execution, and Applications
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.22271/27084477.2025.v6.i2a.79openalex-snapshot
AI-enhanced edge devices for real-time signal processing in IoT networks
inferredcites →https://doi.org/10.22399/ijcesen.3067openalex-snapshot
Adaptive Hormesis-Based Optimization (AHBO) for Efficient Task Offloading in Industrial IoT Edge Environments
inferredcites →https://doi.org/10.3354/cr030079openalex-snapshot
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
inferredcites →https://doi.org/10.3390/electronics12122599openalex-snapshot
A State-of-the-Art Review of Task Scheduling for Edge Computing: A Delay-Sensitive Application Perspective
inferredcites →https://doi.org/10.3390/fi16090333openalex-snapshot
A Task Offloading and Resource Allocation Strategy Based on Multi-Agent Reinforcement Learning in Mobile Edge Computing
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