diff --git "a/msserviceprofiler/docs/\346\234\215\345\212\241\345\214\226\350\207\252\345\212\250\345\257\273\344\274\230\345\267\245\345\205\267.md" "b/msserviceprofiler/docs/\346\234\215\345\212\241\345\214\226\350\207\252\345\212\250\345\257\273\344\274\230\345\267\245\345\205\267.md"
index b62962421edee008d26511ddc26a1742ceabf66d..721e6901c67bfd9f3932c89675bcbc2906ea6044 100644
--- "a/msserviceprofiler/docs/\346\234\215\345\212\241\345\214\226\350\207\252\345\212\250\345\257\273\344\274\230\345\267\245\345\205\267.md"
+++ "b/msserviceprofiler/docs/\346\234\215\345\212\241\345\214\226\350\207\252\345\212\250\345\257\273\344\274\230\345\267\245\345\205\267.md"
@@ -239,6 +239,7 @@ config_position = "default_d_rate"
 min = 1
 max = 3
 dtype = "share"
+dtype_param = "default_p_rate"
 ```
 ## 日志说明
 寻优过程中默认日志为error级别，如果用户想看每一轮具体的日志，可以设置
diff --git a/msserviceprofiler/msserviceprofiler/modelevalstate/config/config.py b/msserviceprofiler/msserviceprofiler/modelevalstate/config/config.py
index 29256b5e4d37199d7e814658348b743ae2cfbe12..17e44c3935a2a7772b9c909effbd0c4e3a662c26 100644
--- a/msserviceprofiler/msserviceprofiler/modelevalstate/config/config.py
+++ b/msserviceprofiler/msserviceprofiler/modelevalstate/config/config.py
@@ -170,7 +170,7 @@ def map_param_with_value(params: np.ndarray, params_field: Tuple[OptimizerConfig
         elif v.dtype == "share":
             for _op in _simulate_run_info:
                 if _op.name == v.dtype_param:
-                    _field.value = _op.min + _op.max - _op.value
+                    _field.value = int(_op.min + _op.max - _op.value)
         else:
             try:
                 _field.value = float(params[i])
diff --git a/msserviceprofiler/msserviceprofiler/modelevalstate/optimizer/simulator.py b/msserviceprofiler/msserviceprofiler/modelevalstate/optimizer/simulator.py
index 71caf6a67e3765c5685ee123dac0e69f1a063273..480af558dd8d800d2c533e8bd5c4522167ed8dec 100644
--- a/msserviceprofiler/msserviceprofiler/modelevalstate/optimizer/simulator.py
+++ b/msserviceprofiler/msserviceprofiler/modelevalstate/optimizer/simulator.py
@@ -345,7 +345,7 @@ class DisaggregationSimulator(CustomProcess):
 
         try:
             # 发送 POST 请求
-            response = requests.post(url, json=payload, headers=headers)
+            response = requests.post(url, json=payload, headers=headers, timeout=10)
             
             # 检查响应状态码
             if response.status_code == 200:
@@ -397,11 +397,13 @@ class DisaggregationSimulator(CustomProcess):
             if mindie_name[3] == 'Running':
                 break
             time.sleep(1)
-        self.monitor_command.append(mindie_name[1])
+        kubectl_monitor_command = self.KubectlCommand(self.mindie_config.command).monitor_command
+        kubectl_monitor_command.append(mindie_name[1])
         logger.info(f"mindie_name: {mindie_name[1]}")
-        self.log_process = subprocess.Popen(self.monitor_command, stdout=self.mindie_log_fp, stderr=subprocess.STDOUT, 
-                                        env=os.environ, text=True, cwd=self.mindie_config.kubectl_default_path)
-        logger.info(f"command: {' '.join(self.monitor_command)}, log file: {self.run_log}")
+        self.log_process = subprocess.Popen(kubectl_monitor_command, stdout=self.mindie_log_fp, 
+                                            stderr=subprocess.STDOUT, env=os.environ, text=True, 
+                                            cwd=self.mindie_config.kubectl_default_path)
+        logger.info(f"command: {' '.join(kubectl_monitor_command)}, log file: {self.run_log}")
 
     def run(self, run_params: Tuple[OptimizerConfigField]):
         logger.info(f'start run in simulator. run params: {run_params}')