vandung85

adaptive-federated-learning

Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"

CloudComputingSimulator

Implementing and analyzing a task offloading decision making algorithm which uses semidefinite relaxation in a mobile cloud computing architecture which has a computing access point (cloudlet)

cloudsim-task-scheduling

extended algorithms for task scheduling

cloudsim-task-scheduling-1

DDLO

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

Deep-Learning

deeplearning.ai

There are all deeplearning.ai assigniment of Andrew Ng in coursera

DRL-Networking

Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.

Multi-UAV-Network-Experiment

Task-Scheduling-In-Cloud-computing-environments

Task scheduling algorithms using algorithms like ACO PSO and MBO

vandung85/Multi-UAV-Network-Experiment

vandung85/Task-Scheduling-In-Cloud-computing-environments

Task scheduling algorithms using algorithms like ACO PSO and MBO

vandung85/adaptive-federated-learning

Code for paper "Adaptive Federated Learning in Resource Constrained Edge Computing Systems"

vandung85/cloudsim-task-scheduling

extended algorithms for task scheduling

vandung85/DDLO

Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks

vandung85/DRL-Networking

Research on incentive mechanism design in mobile crowdsensing and mobile edge computing by deep reinforcement learning approaches.

vandung85/DROO

Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks

vandung85/Dynamic-Request-Scheduling-Optimization-in-Mobile-Edge-Computing-for-IoT-Applications

This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT Applications"

vandung85/EdgeCloudSim

Dependable edge computing project. Simulation code that shows the scenarios where hybrid execution models are worthwhile.

vandung85/EdgeCloudSim-1

EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems

vandung85/fog-survey-data

The data related to the survey paper: All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey

vandung85/interest_aware

Code for Interest-aware energy collection & resource management in machine to machine communications paper https://www.sciencedirect.com/science/article/pii/S1570870517301683

vandung85/IoTSim-Edge

vandung85/LassoADMM

Source code for our paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"

vandung85/Latency-Minimization-for-mmWave-D2D-Mobile-Edge-Computing-Systems

vandung85/MEC_task_offloading

vandung85/MECOptimalOffloading

Optimization of Offloading Scheme Algorithm for Large Number of Tasks in Mobile-Edge Computing

vandung85/ml-from-scratch

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

vandung85/moblie-edge-computing

vandung85/Particle-Swarm-Optimization-Based-Cost-Effective-Cloudlet-Scheduling-using-CloudSim

A PSO based Task Scheduling which has been compared against Random Scheduling

vandung85/Practical-Deep-Learning-Book

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

vandung85/PureEdgeSim

PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.

vandung85/PureEdgeSim_Fuzzy_Logic_Example

A Fuzzy Logic based workload orchestration example

vandung85/Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

vandung85/Risk_aware_MEC_offloading

Code for Data Offloading in UAV-assisted Multi-access Edge Computing Systems: A Resource-based Pricing and User Risk-awareness Approach paper https://www.mdpi.com/1424-8220/20/8/2434/pdf

vandung85/Task-Offloading-and-Resource-Allocation-for-Multi-Server-Mobile-Edge-Computing-Networks

vandung85/task-offloading-edge-computing

Simulation code for multi-user offloading in edge computing newtorks

vandung85/TaskAllocation-of-mutiple-UAVs-for-AerialRobotConstruction

vandung85/UARA

J. Liu, X. Tao and J. Lu, "Mobility-Aware Centralized Reinforcement Learning for Dynamic Resource Allocation in HetNets," accepted by IEEE GLOBECOM 2019.

vandung85/WebServers