Enable head-based sampling and add some scripts for large scale deployment

This PR is related to the following issues:

• Head based sampling: https://gitlab.mpi-sws.org/cld/tracing/hindsight-grpc/-/issues/17
• Data type of duration: https://gitlab.mpi-sws.org/cld/tracing/hindsight-grpc/-/issues/20
• Docker images and scripts for deployment: https://gitlab.mpi-sws.org/cld/tracing/hindsight-grpc/-/issues/15

Side note, gen_address.py and config/alibaba_parse.py are not used, will be discarded later.

config/alibaba_parse.py

@@ -11,8 +11,8 @@ call_map = {}
 visited_service = {}
 
 def dfs(root):
-	# if len(call_map[root]) < 2:
-	# 	return
+	if len(call_map[root]) < 11:
+		return
 
 	if root in visited_service:
 		return
@@ -28,7 +28,7 @@ if __name__ == '__main__':
 	# args = parser.parse_args()
 
 	# Load topology file
-	f = open("config/alibaba_topology.json")
+	f = open("alibaba_topology.json")
 	data = json.load(f)
 	data = data["services"]	
 
@@ -45,7 +45,15 @@ if __name__ == '__main__':
 				if child["service"] not in call_map[service_name]:
 					call_map[service_name][child_name] = 1
 
-	root = "CharcoalCockroach"
+	# _max = 0
+	# for root in call_map:
+	# 	visited_service = {}
+	# 	dfs(root)
+	# 	if (len(visited_service) > _max):
+	# 		_max = len(visited_service)
+	# 		print(root, len(visited_service))
+
+	root = "BlossomSociety"
 
 	dfs(root)
 	print(len(visited_service))