Merge pull request #45 from qjing666/master

add k8s deployment 

README.md

@@ -58,6 +58,13 @@ In PaddleFL, components for defining a federated learning task and training a fe
 
 Please reference [Quick Start](https://paddlefl.readthedocs.io/en/latest/instruction.html) for installation and quick-start example.
 
+## Easy deployment with kubernetes
+```sh
+
+kubectl apply -f ./paddle_fl/examples/k8s_deployment/master.yaml
+
+```
+Please refer [K8S deployment example](./paddle_fl/examples/k8s_deployment/README.md) for details
 ## Benchmark task
 
 Gru4Rec [9] introduces recurrent neural network model in session-based recommendation. PaddlePaddle's Gru4Rec implementation is in https://github.com/PaddlePaddle/models/tree/develop/PaddleRec/gru4rec. An example is given in [Gru4Rec in Federated Learning](https://paddlefl.readthedocs.io/en/latest/examples/gru4rec_examples.html)

README_cn.md

@@ -55,6 +55,14 @@ PaddleFL是一个基于PaddlePaddle的开源联邦学习框架。研究人员可
 
 请参考[快速开始](https://paddlefl.readthedocs.io/en/latest/instruction.html)。
 
+## Kubernetes简单部署
+
+```sh
+ 
+kubectl apply -f ./paddle_fl/examples/k8s_deployment/master.yaml
+
+```
+请参考[K8S 部署实例](./paddle_fl/examples/k8s_deployment/README.md)
 ## 性能测试
 
 Gru4Rec [9] 在基于会话的推荐中引入了递归神经网络模型。PaddlePaddle的GRU4RC实现代码在 https://github.com/PaddlePaddle/models/tree/develop/PaddleRec/gru4rec. 一个基于联邦学习训练Gru4Rec模型的示例请参考[Gru4Rec in Federated Learning](https://paddlefl.readthedocs.io/en/latest/examples/gru4rec_examples.html)

paddle_fl/examples/k8s_deployment/README.md

+# PaddleFL deployment example with Kubernetes
+
+## compile time
+
+#### Master
+
+```sh
+
+#Define distributed training config for trainer and server
+python fl_master.py --trainer_num 2
+tar -zcvf fl_job_config.tar.gz fl_job_config
+
+#Start HTTP server and wait download request from trainer and server
+python -m SimpleHTTPServer 8000
+
+```
+
+## Run time
+
+#### Scheduler
+```sh
+
+#Start a Scheduler
+python fl_scheduler.py --trainer_num 2
+
+```
+
+#### Server
+```sh
+
+#Download job config file from master
+wget ${FL_MASTER_SERVICE_HOST}:${FL_MASTER_SERVICE_PORT_FL_MASTER}/fl_job_config.tar.gz
+tar -xf fl_job_config.tar.gz
+
+#Start a Server
+python -u fl_server.py > server.log 2>&1
+
+```
+
+###Trainer
+```sh
+
+#Download job config file from master
+wget ${FL_MASTER_SERVICE_HOST}:${FL_MASTER_SERVICE_PORT_FL_MASTER}/fl_job_config.tar.gz
+tar -xf fl_job_config.tar.gz
+
+#Start the ith trainer
+python -u fl_trainer.py i
+
+```