[DOCS] Updating DL Streamer Pipeline Server docs

microservices/dlstreamer-pipeline-server/docs/user-guide/advanced-guide/Overview.md

@@ -41,8 +41,8 @@
 -   [Model Update](./detailed_usage/how-to-advanced/model_update/dlstreamer_pipeline_server_model_update.md)
 -   [Object tracking](./detailed_usage/how-to-advanced/object_tracking/object_tracking.md)
 -   [Enable HTTPS for DL Streamer Pipeline Server](./detailed_usage/how-to-advanced/https/dlstreamer_pipeline_server_https.md)
--   [Performance Analysis](./detailed_usage/how-to-advanced/performance/Processing-Latency.md)
--   [Core Pinning](./detailed_usage/how-to-advanced/performance/Core-Pinning.md)
+-   [Performance Analysis](./detailed_usage/how-to-advanced/performance/processing-latency.md)
+-   [Core Pinning](./detailed_usage/how-to-advanced/performance/core-pinning.md)
 -   [Get tensor vector data](./detailed_usage/how-to-advanced/get-tensor-vector-data.md)
 -   [Multistream pipelines with shared model instance](./detailed_usage/how-to-advanced/multistream-pipelines.md)
 -   [Cross stream batching](./detailed_usage/how-to-advanced/cross-stream-batching.md)

microservices/dlstreamer-pipeline-server/docs/user-guide/advanced-guide/detailed_usage/how-to-advanced/Overview.md

@@ -21,7 +21,7 @@ To learn about object tracking refer this [doc](./object_tracking/object_trackin
 To enable secure REST API, refer this [doc](./https/dlstreamer_pipeline_server_https.md)
 
 ## Performance Analysis
-To learn about performance metrics using GST tracers and logging, refer this [doc](./performance/Processing-Latency.md)
+To learn about performance metrics using GST tracers and logging, refer this [doc](./performance/processing-latency.md)
 
 ## Get tensor vector data
 To learn how to get tensor data during inference, refer this [doc](./get-tensor-vector-data.md)
@@ -45,7 +45,8 @@ To learn how DL Streamer Pipeline Server interacts with other microservices such
 model_update/dlstreamer_pipeline_server_model_update.md
 object_tracking/object_tracking.md
 https/dlstreamer_pipeline_server_https.md
-performance/Processing-Latency.md
+performance/processing-latency.md
+performance/core-pinning.md
 get-tensor-vector-data.md
 multistream-pipelines.md
 cross-stream-batching.md

microservices/dlstreamer-pipeline-server/docs/user-guide/advanced-guide/detailed_usage/how-to-advanced/performance/Core-Pinning.md → microservices/dlstreamer-pipeline-server/docs/user-guide/advanced-guide/detailed_usage/how-to-advanced/performance/core-pinning.md

@@ -1,13 +1,12 @@
-
-## Pinning the DL Streamer Pipeline Sever to CPU cores
+# Pinning the DL Streamer Pipeline Sever to CPU cores
 
 The DL Streamer Pipeline Server supports `CORE_PINNING` if you need to pin the server to certain CPU cores for performance optimization. The `CORE_PINNING` environment variable takes the following values:
-- A comma delimited list of CPU cores or range of CPU cores: `10,12,14` or `10-14` or `10-14/2`. See the `taskset` documentation for more details of how to specify the list of CPU cores.   
+- A comma delimited list of CPU cores or range of CPU cores: `10,12,14` or `10-14` or `10-14/2`. See the `taskset` documentation for more details of how to specify the list of CPU cores.
 - A specific core type such as `e-cores`, `p-cores`, or `lp-cores`.
 
 The following is an example of how to specify CPU cores in a docker-compose file:
 
-```
+```text
 ...
   services:
     dlstreamer-pipeline-server: