diff --git a/cube/cube-api/include/cube_api.h b/cube/cube-api/include/cube_api.h
index aee82f6dd1d009d5b5b53b3f6fe8de0d591e5d51..c5059b9fea3a1d03cf4e50f8cb8dc994307d31ad 100644
--- a/cube/cube-api/include/cube_api.h
+++ b/cube/cube-api/include/cube_api.h
@@ -18,7 +18,12 @@
 #include <string>
 #include <vector>
 
+#ifdef BCLOUD
+#include "baidu/rpc/server.h"
+#else
 #include "brpc/server.h"
+#endif
+
 #include "cube/cube-api/cube.pb.h"
 #include "cube/cube-api/include/meta.h"
 
diff --git a/cube/cube-api/include/meta.h b/cube/cube-api/include/meta.h
index ec891720c55503ad77de24cd178db53b2170023e..69bbb8ccc12e423d286183ed5dd87e90bf2e59de 100644
--- a/cube/cube-api/include/meta.h
+++ b/cube/cube-api/include/meta.h
@@ -19,11 +19,25 @@
 #include <unordered_map>
 #include <vector>
 
+#ifdef BCLOUD
+#include "baidu/rpc/channel.h"
+#include "baidu/rpc/parallel_channel.h"
+#include "rapidjson/document.h"
+#else
 #include "brpc/channel.h"
 #include "brpc/parallel_channel.h"
 #include "butil/third_party/rapidjson/document.h"
+#endif
+
 #include "bvar/bvar.h"
 
+#ifdef BCLOUD
+namespace brpc = baidu::rpc;
+#ifndef BUTIL_RAPIDJSON_NAMESPACE
+#define BUTIL_RAPIDJSON_NAMESPACE RAPIDJSON_NAMESPACE
+#endif
+#endif
+
 namespace rec {
 namespace mcube {
 
diff --git a/cube/cube-api/src/cube_api.cpp b/cube/cube-api/src/cube_api.cpp
index 8a9cebb9aa92f1bdb13c47cb7c065eaf2738c73f..c481effae450889bbcf25c4e315edca3e8d88e6b 100644
--- a/cube/cube-api/src/cube_api.cpp
+++ b/cube/cube-api/src/cube_api.cpp
@@ -13,8 +13,14 @@
 // limitations under the License.
 
 #include "cube/cube-api/include/cube_api.h"
+#ifdef BCLOUD
+#include <baidu/rpc/channel.h>
+#include <baidu/rpc/parallel_channel.h>
+#else
 #include <brpc/channel.h>
 #include <brpc/parallel_channel.h>
+#endif
+
 #include <google/protobuf/descriptor.h>
 #include "cube/cube-api/include/cube_api_bvar.h"
 
@@ -25,6 +31,10 @@ namespace {
 static ::rec::mcube::CubeAPI* g_ins = NULL;
 }
 
+#ifdef BCLOUD
+namespace brpc = baidu::rpc;
+#endif
+
 namespace rec {
 namespace mcube {
 
diff --git a/cube/cube-api/src/meta.cpp b/cube/cube-api/src/meta.cpp
index 69ce43a08e0f5460dfa4e440958ff247458f6140..06911e8828685abbe3b0912f22f8dd7a0f807e50 100644
--- a/cube/cube-api/src/meta.cpp
+++ b/cube/cube-api/src/meta.cpp
@@ -26,6 +26,10 @@ namespace {
 static ::rec::mcube::Meta* g_ins = NULL;
 }
 
+#ifdef BCLOUD
+namespace brpc = baidu::rpc;
+#endif
+
 namespace rec {
 namespace mcube {
 
diff --git a/doc/CTR_PREDICTION.md b/doc/CTR_PREDICTION.md
index 746b6360f3fb326f3a63561bab1a2163bf30da67..513b4560f025a08f3fc2ffe9a7fb96ada0b076c5 100755
--- a/doc/CTR_PREDICTION.md
+++ b/doc/CTR_PREDICTION.md
@@ -320,7 +320,7 @@ def prune_program():
 
 ### 2.5 裁剪过程串到一起
 
-我们提供了完整的裁剪CTR预估模型的脚本文件save_program.py，同[CTR分布式训练任务](doc/DISTRIBUTED_TRAINING_AND_SERVING.md)一起发布，可以在trainer和pserver容器的训练脚本目录下找到
+我们提供了完整的裁剪CTR预估模型的脚本文件save_program.py，同[CTR分布式训练和Serving流程化部署](https://github.com/PaddlePaddle/Serving/blob/master/doc/DEPLOY.md)一起发布，可以在trainer和pserver容器的训练脚本目录下找到，也可以在[这里](https://github.com/PaddlePaddle/Serving/tree/master/doc/resource)下载。
 
 ## 3. 整个预测计算流程