https://github.com/dbiir/geotp
Source code and script for "GeoTP: Latency-aware Geo-Distributed Transaction Processing in Database Middlewares"
https://github.com/dbiir/geotp
Last synced: about 1 month ago
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Source code and script for "GeoTP: Latency-aware Geo-Distributed Transaction Processing in Database Middlewares"
- Host: GitHub
- URL: https://github.com/dbiir/geotp
- Owner: dbiir
- Created: 2024-01-28T09:49:26.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-30T12:10:37.000Z (7 months ago)
- Last Synced: 2025-03-27T15:04:31.584Z (about 2 months ago)
- Language: Python
- Size: 1.62 MB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Source Code of GeoTP
The source code of paper: "GeoTP: Latency-aware Geo-Distributed Transaction Processing in Database Middlewares".
folder description:
- geo-agent: deploy in the same machinen with data source
- geo-middleware: act as middleware
- script: the network configuartion and running script in EVALUATION(Section6).
> 1.the branch name of both geo-agent and geo-middleware are 'GeoTP'.
> 2.we use benchbase as a client, the configuration can be seen in Section6.
## 1. geo-middleware
The project is inherite from shardingsphere, compile and deploy in the same way as shardingsphere. The configuartion file can be found in `proxy/bootstrap/src/main/resources/conf`, key files are `server.yaml` and `config-sharding.yaml`. Replace url and password with the corresponding values for the target machine.
## 2. geo-agent
Geo-agent works as an agent or proxy for data sources. Similar to geo-middleware, the config file can be found in `bootstrap/src/main/resources/conf`.
### 2.1 Compilation
We compile this project with `maven` and copy the `.jar` into `target/lib`
```shell
./build.py
```
### 2.2 Run geo-agent
```shell
cd target
./start.sh
```
## 3. script
We run the script `run_benchabse.py` to conduct evaluations. Before this, we copy the config file for benchbase into `config/` and tarverse this folder.
For example, we use following command in Section 6.2.
```shell
./run_benchbase.py -s normal -a none aharp_lppa -f skew -w ycsb -e mysql
```
More detail parameters can be found in `run_benchbase.py` or run
```shell
./run_benchbase.py -h
```