Merge pull request #47 from qjing666/document

Update document

README.md

@@ -65,6 +65,8 @@ kubectl apply -f ./paddle_fl/examples/k8s_deployment/master.yaml
 
 ```
 Please refer [K8S deployment example](./paddle_fl/examples/k8s_deployment/README.md) for details
+
+You can also refer [K8S cluster application and kubectl installation](./paddle_fl/examples/k8s_deployment/deploy_instruction.md) to deploy your K8S cluster
 ## 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

@@ -62,7 +62,9 @@ PaddleFL是一个基于PaddlePaddle的开源联邦学习框架。研究人员可
 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)
+请参考[K8S部署实例](./paddle_fl/examples/k8s_deployment/README.md)
+
+也可以参考[K8S集群申请及kubectl安装](./paddle_fl/examples/k8s_deployment/deploy_instruction.md) 配置自己的K8S集群
 ## 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

@@ -37,7 +37,7 @@ python -u fl_server.py > server.log 2>&1
 
 ```
 
-###Trainer
+#### Trainer
 ```sh
 
 #Download job config file from master

paddle_fl/examples/k8s_deployment/deploy_instruction.md

@@ -0,0 +1,33 @@
+# K8S cluster application
+Here is a guide for you to apply your K8S cluster on [Baidu Cloud](https://cloud.baidu.com/doc/CCE/s/zjxpoqohb)
+
+The number of CPU cores should be larger than 8
+
+<img src='fl_node.png' width = "400" height = "160">
+
+# kubectl installation 
+```sh
+#download newest version
+curl -LO "https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/darwin/amd64/kubectl"
+#add authorization for kubectl execution 
+chmod +x ./kubectl
+#move the execuable file to the enviroment path
+sudo mv ./kubectl /usr/local/bin/kubectl
+#check installation and get the version
+kubectl version
+```
+# Add configuration for kubectl
+
+After installing kubectl, we need to add some configurations for kubectl.
+
+You can find the status of your cluster and download the certication [here](https://cloud.baidu.com/doc/CCE/index.html#.E6.9F.A5.E7.9C.8B.E9.9B.86.E7.BE.A4)
+
+<img src='status.png' width = "400" height = "160">
+
+Finally, move the certification to default path of kubectl and you can access the remote K8S cluster on your machine
+
+```sh
+mv kubectl.conf  ~/.kube/config
+
+kubectl get node
+```