add k8s deployment solution

README.md

@@ -60,9 +60,11 @@ Please reference [Quick Start](https://paddlefl.readthedocs.io/en/latest/instruc
 
 ## 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

@@ -55,14 +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)。
 
-## K8S 一键部署
+## 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 0
+
+```