This synthetic dataset represents a scenario of 10,000 interactions between different types of IoT devices and edge servers. if you want to use this dataset please cite article: https://doi.org/10.1007/s10586-023-04195-4
☆13Jun 18, 2023Updated 2 years ago
Alternatives and similar repositories for IoT_Task_Offloading_Dataset
Users that are interested in IoT_Task_Offloading_Dataset are comparing it to the libraries listed below
Sorting:
- ☆15Dec 22, 2022Updated 3 years ago
- ☆10Jul 13, 2023Updated 2 years ago
- ☆14Mar 1, 2021Updated 5 years ago
- Multi-agent Deep Reinforcement Learning for Efficient Computation Offloading in Mobile Edge Computing☆15Jun 7, 2023Updated 2 years ago
- DRL or Heuristic algorithms for MEC system☆14Apr 9, 2024Updated last year
- Privacy-aware service migration strategy for edge computing environments☆13Jun 17, 2022Updated 3 years ago
- BACHELOR THESIS. Detect wind turbine errors using a hybrid model. Utilize ML, DL, edge computing. Dataset, neural network optimized with …☆14Jun 2, 2023Updated 2 years ago
- ☆17Dec 12, 2022Updated 3 years ago
- Novel Vehicular Edge and Fog enabled Computation offloading framework☆16Sep 7, 2022Updated 3 years ago
- ACO plus Lagrange; NP problem.☆17Jul 6, 2020Updated 5 years ago
- Reinforcement learning for load distribution in a decentralized Edge environment. This is the implementation of my Master's thesis projec…☆28Nov 28, 2024Updated last year
- ☆17Feb 20, 2023Updated 3 years ago
- Proposing Discrete Gray Wolf Optimizer (DGWO), comparing with other optimizers for Mobile Edge Computing (MEC) task offloading scheduling…☆16Aug 11, 2022Updated 3 years ago
- ☆22Oct 14, 2023Updated 2 years ago
- Task offloading in vehicular edge computing networks☆24Oct 23, 2023Updated 2 years ago
- ☆24Apr 12, 2022Updated 3 years ago
- Digital-twin Network Service Pre-migration Scheme for Vehicular Edge Computing☆26Jul 15, 2023Updated 2 years ago
- MEC,Edge service, Edge Application, Service Computing.☆68May 25, 2022Updated 3 years ago
- ☆179Sep 14, 2020Updated 5 years ago
- A repository for a Deep Q-Learning approach to intrusion detection for networks cyber-attacks.☆10Sep 3, 2021Updated 4 years ago
- Implementation of Dynamic Computation Offloading Control Logic in a Software-Defined Vehicle (SDV) System☆11Dec 19, 2024Updated last year
- ☆10Dec 10, 2021Updated 4 years ago
- a Federated Learning Framework adapted for resource-constrained environments, focusing on IoT devices☆10Oct 6, 2025Updated 4 months ago
- ☆89Jun 6, 2024Updated last year
- Flexible resource allocation for edge cloud computing with reinforcement learning☆38May 29, 2020Updated 5 years ago
- This operator will manage and configure data processing unit (DPUs) to be used in accelerating/offloading k8s networking functions☆12Feb 13, 2026Updated 2 weeks ago
- Protect workers with TensorFlow Hard Hat object detection model on a Jetson Nano☆10Sep 27, 2022Updated 3 years ago
- Deep Reinforcement Learning based Autonomous Driving Agents☆10Jul 7, 2022Updated 3 years ago
- An HTTP client for the Rust AWS SDK that runs on Fastly Compute @ Edge☆10Nov 11, 2025Updated 3 months ago
- Reinforcement learning project using deep Q-learning to control the operations of an electrical microgrid☆10Jan 3, 2023Updated 3 years ago
- This is a DQN-based recommendation system for item-list recommendation and it finally achieved second place in the competition of RL-base…☆11Oct 8, 2021Updated 4 years ago
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Feb 26, 2021Updated 5 years ago
- ☆10Jul 26, 2024Updated last year
- Teaching the Donkey car to drive a track in the simulator using State Representation Learning and different Reinforcement Learning Algori…☆12Dec 6, 2021Updated 4 years ago
- My undergraduate final project - Modeling and control of a distillation column using neural networks and reinforcement learning.☆12Apr 28, 2020Updated 5 years ago
- [ICML 2024 Oral] Consistent Adversarial Robust Deep Q Networks (CAR-DQN)☆15Feb 27, 2025Updated last year
- Official implementation of the UMDQN algorithm presented in the scientific research paper entitled "Distributional Reinforcement Learning…☆11Jun 3, 2022Updated 3 years ago
- Source code for "Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks"☆14Oct 23, 2024Updated last year
- ☆11Jan 11, 2022Updated 4 years ago