KyleBenson / ride
Resilient IoT Data Exchange (RIDE) using SDN and edge computing. This repository includes the algorithms, prototype implementation, SDN controller REST API adapter, and Mininet-based experimental framework we used to evaluate its performance.
☆23Updated 4 years ago
Alternatives and similar repositories for ride:
Users that are interested in ride are comparing it to the libraries listed below
- My Simulation platform for edge computing based on Veins which includes SUMO and OMNet++☆14Updated 4 years ago
- NDN caching simulator for edge computing using python☆21Updated 2 years ago
- ☆40Updated 3 years ago
- The code for the paper task merging and scheduling for parallel deep learning applications in mobile edge computing☆26Updated 4 years ago
- simulation of "A novel reinforcement learning algorithm for virtual network emb e dding" paper☆18Updated 5 years ago
- Edge computing simulator☆11Updated 6 years ago
- zamaniali1995 / A-Novel-Approach-for-Service-Function-Chain-SFC-Mapping-with-Multiple-SFC-instances-paperThis code simulate effect of using edge computing for NFV.☆11Updated 5 years ago
- Implementation of Mobile Edge Computing Server for Live Streaming Video Applications☆11Updated 5 years ago
- ☆18Updated 2 years ago
- ☆10Updated 7 years ago
- Three Agent-Based Simulation for Edge Computing in 5G and Beyond for the recent paper titled "Design and Simulation of a Hybrid Architect…☆17Updated 3 years ago
- ☆16Updated 2 years ago
- Task Scheduler based on Reinforcement Learning (RL) that allocates re-routing computation into the appropriate network element (edge nod…☆19Updated 3 years ago
- App layer code of task offloading of Space-Air-Ground vehicular network.☆25Updated 6 years ago
- ☆18Updated 2 years ago
- data routing and caching with DRL in vehicular network☆20Updated 5 years ago
- Network slicing gym environment and a model-based RL agent with kernels☆47Updated 5 months ago
- qiongwu86 / Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network☆22Updated 10 months ago
- The purpose of this project is to implement machine learning methods to study resource allocation problems, that is how to share limited …☆16Updated 2 years ago
- SatEdgeSim: A Toolkit for Modeling and Simulation of Performance Evaluation in Satellite Edge Computing Environments☆52Updated last year
- This is the code for the paper titleed task merge and scheduling for deep learning applications in mobile edge computing☆8Updated 6 years ago
- ☆18Updated 3 years ago
- This is the code for the paper published in IEEE Cloud Computing 2022☆12Updated 2 years ago
- A multi-access (edge) fog computing mobile crowd-sensing simulator. Given a place as input, the current version creates a user movements …☆10Updated 2 months ago
- ☆11Updated 4 years ago
- Latency Equalization Policy of End-to-End Network Slicing Based on Reinforcement Learning☆14Updated last year
- Deep Neural Network for Computation Rate Maximization in Wireless Powered Mobile-Edge Computing System☆55Updated 6 years ago
- BeomhanBaek / Three-Dynamic-Pricing-Schemes-for-Resource-Allocation-of-Edge-Computing-for-IoT-EnvironmentSimulation Codes for Three Dynamic Pricing Schemes for Resource Allocation of Edge Computing for IoT Environment☆31Updated 5 years ago
- Validation for an online resource allocation algorithm for mobile edge computing☆19Updated 8 years ago
- Codes for paper "Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation"☆36Updated 3 weeks ago