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https://github.com/vprlab/mopeyedataset
The public dataset of MopEye, a VPN-based per-app mobile measurement app
https://github.com/vprlab/mopeyedataset
Last synced: about 21 hours ago
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The public dataset of MopEye, a VPN-based per-app mobile measurement app
- Host: GitHub
- URL: https://github.com/vprlab/mopeyedataset
- Owner: VPRLab
- Created: 2018-11-08T09:08:24.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2024-08-11T14:34:08.000Z (3 months ago)
- Last Synced: 2024-08-11T15:47:39.151Z (3 months ago)
- Homepage: https://mopeye.github.io/
- Size: 144 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# MopEyeDataset
**MopEye: Opportunistic Monitoring of Per-app Mobile Network Performance**
* Homepage: https://mopeye.github.io/
* App link: https://play.google.com/store/apps/details?id=com.mopeye (will re-upload soon)
* Paper link: https://www.usenix.org/conference/atc17/technical-sessions/presentation/wu
MopEye was published in USENIX ATC'17, and the following is the bib information:
```
@INPROCEEDINGS{MopEye17,
AUTHOR = {Daoyuan Wu and Rocky K. C. Chang and Weichao Li and Eric K. T. Cheng and Debin Gao},
TITLE = {{MopEye}: Opportunistic Monitoring of Per-app Mobile Network Performance},
BOOKTITLE = {Proc. USENIX Annual Technical Conference (ATC)},
PAGES = {445--457},
YEAR = {2017},
}
```
**We are periodically releasing the datasets of MopEye for benefiting networking research.**
## Access Policy
We **request** that applicants:
* Do not redistribute the dataset without our consent;
* Do not make a commercial usage of the dataset;
* Get a faculty, or someone in a permanent position, to agree and commit to the policy.
To access the following database files, please send an application email (with the corresponding email subject) to **dywu(at)ie.cuhk.edu.hk** stating the name of your research institution and the name of the person requesting access. Make sure to send your application from your university (or research institution) email account.
## 170103MopEyeDataset
* Peroid: From 16 May 2016 to 3 January 2017 approximately;
* Five million measurements from 6,266 Android apps on 2,351 smartphones;
* Used in our initial ATC'17 paper: https://daoyuan14.github.io/papers/ATC17_MopEye.pdf;
* DB file: https://www.dropbox.com/s/4d5mw9yqle6ka29/170103MopEyeDataset.db?dl=0;
* Email subject: "Requesting the 170103 MopEye dataset from XXX", where XXX is the abbreviation of your institution.
* Applicants' institution and potential research outputs:
* Shanghai Jiao Tong University, China [[INFOCOM'19](http://iiot.sjtu.edu.cn/xtian/paper/2019-infocom-Detecting%20Anomaly.pdf)]
* Southern University of Science and Technology, China [[IWQoS'19](https://daoyuan14.github.io/papers/IWQoS19_MopEyeDatasetAnalysis.pdf)]
* Nanjing University, China
* Harbin Engineering University, China
* K. N. Toosi University of Technology, Iran
* Xidian University, China
## How to Use the DB
* You can access the dataset db file using the SQLite Browser.
* Then make SQL query according to your need.
## The Database Structure
For the meaning of database structure, please refer to **Table 1** in https://daoyuan14.github.io/papers/IWQoS19_MopEyeDatasetAnalysis.pdf
