Update README.md

adding descriptions about running parcoursvis in local computer using Ssh

README.md

@@ -287,3 +287,61 @@ npm run serve
 ```
 
 The histogram we showed in the article "Progressive Visualization of Electronic Health Record Sequences at Country-Scale" comes from that D3.js software.
+
+
+
+### Running Parcoursvis in local computer using ssh 
+
+To run parcoursvis in your local computer using SSH:
+
+In order to properly run the system, you need to run two things: frontend that shows the web, and the backend that generates the data. 
+
+So, the strategy is to communicate all the data in your computer’s LOCAL SERVER. 
+
+So, turn on two terminals, and do the following:
+
+In the first terminal, write:
+
+$ ssh -L 5678:localhost:5678 sshin@192.168.113.88 (if 5678 is occupied, use another port instead)
+
+Then, you should let the other server know that you changed the port. 
+
+So, go to parcoursvis (cd parcoursvis)
+$ vi ./front/.env.local
+
+VUE_APP_SERVER_PREFIX=/
+VUE_APP_IP_VM=127.0.0.1
+VUE_APP_PORT_VM_WSS=443
+VUE_APP_PORT_VM_WS=5555 <— update this number!!!!
+
+$wq (save and get out)
+Then, go to /back/parser/index.py and change the port number. 
+Go to parcoursvis (cd parcoursvis)
+
+$ cd back
+$ cd parser
+$ vim index.py
+
+async def main():
+    async with websockets.serve(handler, "0.0.0.0", 5555): <—— change here!!!
+        await asyncio.Future() #Runforever, see https://websockets.readthedocs.io/en/stable/
+
+$wq
+
+Then, 
+
+$conda activate parcoursvis
+$cd parcousvis
+$ cd back
+$ python index.py test10000 &
+Then it will work. 
+
+In the second terminal, write: 
+$ ssh -L 8080:localhost:8080 sshin@192.168.113.88
+$ conda activate parcoursvis
+$ cd parcoursvis
+$ unset HOST
+$ cd front
+$ npm run serve
+
+Then, go to the network http://localhost:8080