|
An NFV-Based Framework for Autonomous Deployment of New Protocols in SDN Networks
|
10.1109/ACCESS.2024.3476244 |
|
|
Parameter Tuning of EV Drivers' Charging Behavioral Model using Machine Learning Techniques
|
# |
|
|
Ensemble clustering and feature weighting in time series data
|
10.1007/s11227-023-05290-4 |
|
|
An Energy-Conservative Dispatcher for Fog-Enabled IIoT systems: When Stability and Timeliness Matter
|
10.1109/TSC.2021.3114964 |
|
|
Deploying IoT Based on NDN Protocol in a Fog Computing Infrastructure
|
10.22108/jcs.2022.131452.1086 |
|
|
A request dispatching method for efficient use of renewable energy in fog computing environments
|
10.1016/j.future.2020.08.035 |
|
|
Effective Utilization of Renewable Energy Sources in Fog Computing Environment via Frequency and Modulation Level Scaling
|
10.1109/JIOT.2020.2993276 |
|
|
A General Model for EV Drivers' Charging Behavior
|
# |
|
|
On the Convergence Properties of Autonomous Demand Side Management Algorithms
|
# |
|
|
A controller-based architecture for information centric network construction and topology management
|
10.1109/CC.2018.8424609 |
|
|
Peer-assisted Information-Centric Network (PICN) A Backward Compatible Solution
|
10.1109/ACCESS.2017.2762697 |
|
|
Efficiency-Fairness Trade-off in Privacy-Preserving Autonomous Demand Side Management
|
# |
|
|
An Optimal Traffic Distribution Method Supporting End-to-End Delay Bound
|
# |
|
|
Achieving Optimality and Fairness in Autonomous Demand Response Benchmarks and Billing Mechanisms
|
# |
|