# DDLO

**Repository Path**: lsjr/DDLO

## Basic Information

- **Project Name**: DDLO
- **Description**: Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-09-18
- **Last Updated**: 2022-09-06

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DDLO
*Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks*

Python code to reproduce our works on Deep Learning-based Offloading for Mobile-Edge Computing Networks [1], where multiple parallel Deep Neural Networks (DNNs) are used to efficiently generate near-optimal binary offloading decisions. This project includes:

- [memory.py](memory.py): the DNN structure for DDLO, inclduing training structure and test structure

- [data](./data): all data are stored in this subdirectory, includes:

  - **MUMT_data_3X3.mat**: training and testing data sets, where 3X3 means that the user number is 3, and each has 3 tasks.

- [main.py](main.py): run this file, inclduing setting system parameters

- [MUMT.py](MUMT.py): compute system utility Q, provided with the size of all tasks and offloading decision

## Cite this work

1. Liang Huang, Xu Feng, Anqi Feng, Yupin Huang, and Li Ping Qian, "[Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks](https://doi.org/10.1007/s11036-018-1177-x)," in Mobile Networks and Applications, 2018, DOI:10.1007/s11036-018-1177-x.

## Required packages

- Tensorflow

- numpy

- scipy

## How the code works

run the file, [main.py](main.py)

## Contacts

If you have any questions related to the codes, please feel free to contact *Liang Huang* (lianghuang AT zjut.edu.cn)

## Related works

For deep reinforcement learning-based offloading for a simple MEC structure, please refer to our recent [DROO](https://github.com/revenol/DROO) project with much cleaner and well-commented source codes:

2. L. Huang, S. Bi, and Y. J. Zhang, “[Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks](https://ieeexplore.ieee.org/document/8771176),” IEEE Trans. Mobile Compt., DOI:10.1109/TMC.2019.2928811, Jul. 2019.