diff --git a/doc/fluid/design/async_executor/async_executor.md b/doc/fluid/design/async_executor/async_executor.md
index e5d485194ca7029180f6062258e44c835ea19054..0af993b90717087b321fd28bed5060b474cc8a20 100644
--- a/doc/fluid/design/async_executor/async_executor.md
+++ b/doc/fluid/design/async_executor/async_executor.md
@@ -57,6 +57,7 @@ We have RunFromFiles interface which is an execution interface for users to call
 ``` c++
 void AsyncExecutor::RunFromFiles(
     const ProgramDesc& main_program,
+    const DataFeedDesc& data_feed_desc,
     const std::vector<std::string> & files,
     const int thread_num) {
   // todo: remove fluid related interface
@@ -65,20 +66,32 @@ void AsyncExecutor::RunFromFiles(
   threads.resize(thread_num);
 
   /*
+    readerDesc: protobuf description for reader initlization
+    argument: class_name, batch_size, use_slot, queue_size, buffer_size, padding_index
+    
     reader: 
     1) each thread has a reader, reader will read input data and 
     put it into input queue
     2) each reader has a Next() iterface, that can fetch an instance
     from the input queue
    */
-  // todo: should be factory method for creating datafeed
   std::vector<std::shared_ptr<DataFeed> > readers;
   readers.resize(thread_num);
-  for (auto& reader : readers) {
-    reader.reset(new DataFeed);
-    reader.add_filelist(files);
+  for (int i = 0; i < readers.size(); ++i) {
+    readers[i] = DataFeedFactory::CreateDataFeed(data_feed_desc.name());
   }
 
+  // todo(dongdaxiang): add the following code for worker generalization
+  /*
+  std::vector<std::shared_ptr<ExecutorStrategy> > workers;
+  workers.resize(thread_num);
+  std::string str_name = strategy_.name;
+  for (auto& worker : workers) {
+    worker.reset(
+        ExecutorStrategyFactory::CreateExecutorStrategy(str_name));
+  }
+  */
+
   std::vector<std::shared_ptr<ExecutorThreadWorker> > workers;
   workers.resize(thread_num);
   for (auto& worker : workers) {
@@ -90,7 +103,6 @@ void AsyncExecutor::RunFromFiles(
     CreateThreads(workers[thidx].get(), main_program,
                   readers[thidx].get(), root_scope_, thidx);
   }
-  
   // start executing ops in multiple threads
   for (int thidx = 0; thidx < thread_num_; ++thidx) {
     threads.push_back(std::thread(&ExecutorThreadWorker::TrainFiles,
@@ -100,7 +112,7 @@ void AsyncExecutor::RunFromFiles(
   for (auto& th : threads) {
     th.join();
   }
-  // fetch variables in scope 0, and return
+  // fetch variables in scope 0, and return, to be added
 }
 
 ```
@@ -112,28 +124,28 @@ void AsyncExecutor::CreateThreads(const ExecutorThreadWorker* worker,
                                   const Scope& root_scope,
                                   const int thread_index) {
   worker->SetThreadid(thread_index);
-  worker->CreateThreadOperators(main_program);
-  worker->CreateThreadScope(main_program);
+  worker->CreateThreadResource(main_program, place_);
+  worker->SetDataFeed(reader);
   worker->BindingDataFeedMemory(reader);
-  worker->SetMainProgram(main_program);
   worker->SetRootScope(root_scope);
 }
+
 ```
 Inside the function ```Trainfiles```, 
 ``` c++
 void ExecutorThreadWorker::TrainFiles() {
   // todo: configurable
-  SetDevice(); // cpu core binding here
-  thread_reader_->Start(); // a reader should start to run a seperate thread first
+  SetDevice();
+  thread_reader_->Start(); // start reading thread within reader
   while (int cur_batch = thread_reader_->Next()) {
-    // all operators run here
+    // executor run here
     for (auto& op : ops_) {
       op->Run(*thread_scope_, place_);
     }
-    // remove intermediate variables created in child scope
     thread_scope_->DropKids();
   }
 }
+
 ```
 
 ## How to print variable information during execution