diff --git a/dev/test-cluster/config-ssh.sh b/dev/test-cluster/config-ssh.sh
deleted file mode 100755
index d093fa17a..000000000
--- a/dev/test-cluster/config-ssh.sh
+++ /dev/null
@@ -1,6 +0,0 @@
-#!/usr/bin/env bash
-
-ssh-keygen -q -N "" -t rsa -f ~/.ssh/id_rsa
-cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
-echo "    StrictHostKeyChecking no                     " | sudo tee -a /etc/ssh/ssh_config
-sudo service ssh restart
diff --git a/dev/test-cluster/core-site.xml b/dev/test-cluster/core-site.xml
deleted file mode 100644
index 7016e477e..000000000
--- a/dev/test-cluster/core-site.xml
+++ /dev/null
@@ -1,24 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
-<!--
-  Licensed under the Apache License, Version 2.0 (the "License");
-  you may not use this file except in compliance with the License.
-  You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-  Unless required by applicable law or agreed to in writing, software
-  distributed under the License is distributed on an "AS IS" BASIS,
-  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-  See the License for the specific language governing permissions and
-  limitations under the License. See accompanying LICENSE file.
--->
-
-<!-- Put site-specific property overrides in this file. -->
-
-<configuration>
-	<property>
-        <name>fs.default.name</name>
-    	<value>hdfs://localhost:8020</value>
-    </property>
-</configuration>
diff --git a/dev/test-cluster/envs.sh b/dev/test-cluster/envs.sh
deleted file mode 100644
index 71e8506e6..000000000
--- a/dev/test-cluster/envs.sh
+++ /dev/null
@@ -1,22 +0,0 @@
-# Set user Spark and Hadoop home directory
-export HADOOP_HOME=~/opt/hadoop-2.7.7
-export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
-export SPARK_HOME=~/opt/spark-3.0.0-bin-hadoop2.7
-
-export PYTHONPATH=$SPARK_HOME/python:$PYTHONPATH
-export PYSPARK_PYTHON=python3
-
-# Set user HDFS Root
-export HDFS_ROOT=hdfs://localhost:8020
-export OAP_MLLIB_DATA_ROOT=OAPMLlib/Data
-# Set user Intel MLlib Root directory
-export OAP_MLLIB_ROOT=${GITHUB_WORKSPACE}
-
-# Target jar built
-OAP_MLLIB_JAR_NAME=oap-mllib-1.1.0.jar
-OAP_MLLIB_JAR=$OAP_MLLIB_ROOT/mllib-dal/target/$OAP_MLLIB_JAR_NAME
-
-# Use absolute path
-SPARK_DRIVER_CLASSPATH=$OAP_MLLIB_JAR
-# Use relative path
-SPARK_EXECUTOR_CLASSPATH=./$OAP_MLLIB_JAR_NAME
diff --git a/dev/test-cluster/hadoop-env.sh b/dev/test-cluster/hadoop-env.sh
deleted file mode 100755
index bee6c1f69..000000000
--- a/dev/test-cluster/hadoop-env.sh
+++ /dev/null
@@ -1,99 +0,0 @@
-# Licensed to the Apache Software Foundation (ASF) under one
-# or more contributor license agreements.  See the NOTICE file
-# distributed with this work for additional information
-# regarding copyright ownership.  The ASF licenses this file
-# to you under the Apache License, Version 2.0 (the
-# "License"); you may not use this file except in compliance
-# with the License.  You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Set Hadoop-specific environment variables here.
-
-# The only required environment variable is JAVA_HOME.  All others are
-# optional.  When running a distributed configuration it is best to
-# set JAVA_HOME in this file, so that it is correctly defined on
-# remote nodes.
-
-# The java implementation to use.
-# export JAVA_HOME=${JAVA_HOME}
-export JAVA_HOME=/usr/local/lib/jvm/openjdk8
-
-# The jsvc implementation to use. Jsvc is required to run secure datanodes
-# that bind to privileged ports to provide authentication of data transfer
-# protocol.  Jsvc is not required if SASL is configured for authentication of
-# data transfer protocol using non-privileged ports.
-#export JSVC_HOME=${JSVC_HOME}
-
-export HADOOP_CONF_DIR=${HADOOP_CONF_DIR:-"/etc/hadoop"}
-
-# Extra Java CLASSPATH elements.  Automatically insert capacity-scheduler.
-for f in $HADOOP_HOME/contrib/capacity-scheduler/*.jar; do
-  if [ "$HADOOP_CLASSPATH" ]; then
-    export HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$f
-  else
-    export HADOOP_CLASSPATH=$f
-  fi
-done
-
-# The maximum amount of heap to use, in MB. Default is 1000.
-#export HADOOP_HEAPSIZE=
-#export HADOOP_NAMENODE_INIT_HEAPSIZE=""
-
-# Extra Java runtime options.  Empty by default.
-export HADOOP_OPTS="$HADOOP_OPTS -Djava.net.preferIPv4Stack=true"
-
-# Command specific options appended to HADOOP_OPTS when specified
-export HADOOP_NAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_NAMENODE_OPTS"
-export HADOOP_DATANODE_OPTS="-Dhadoop.security.logger=ERROR,RFAS $HADOOP_DATANODE_OPTS"
-
-export HADOOP_SECONDARYNAMENODE_OPTS="-Dhadoop.security.logger=${HADOOP_SECURITY_LOGGER:-INFO,RFAS} -Dhdfs.audit.logger=${HDFS_AUDIT_LOGGER:-INFO,NullAppender} $HADOOP_SECONDARYNAMENODE_OPTS"
-
-export HADOOP_NFS3_OPTS="$HADOOP_NFS3_OPTS"
-export HADOOP_PORTMAP_OPTS="-Xmx512m $HADOOP_PORTMAP_OPTS"
-
-# The following applies to multiple commands (fs, dfs, fsck, distcp etc)
-export HADOOP_CLIENT_OPTS="-Xmx512m $HADOOP_CLIENT_OPTS"
-#HADOOP_JAVA_PLATFORM_OPTS="-XX:-UsePerfData $HADOOP_JAVA_PLATFORM_OPTS"
-
-# On secure datanodes, user to run the datanode as after dropping privileges.
-# This **MUST** be uncommented to enable secure HDFS if using privileged ports
-# to provide authentication of data transfer protocol.  This **MUST NOT** be
-# defined if SASL is configured for authentication of data transfer protocol
-# using non-privileged ports.
-export HADOOP_SECURE_DN_USER=${HADOOP_SECURE_DN_USER}
-
-# Where log files are stored.  $HADOOP_HOME/logs by default.
-#export HADOOP_LOG_DIR=${HADOOP_LOG_DIR}/$USER
-
-# Where log files are stored in the secure data environment.
-export HADOOP_SECURE_DN_LOG_DIR=${HADOOP_LOG_DIR}/${HADOOP_HDFS_USER}
-
-###
-# HDFS Mover specific parameters
-###
-# Specify the JVM options to be used when starting the HDFS Mover.
-# These options will be appended to the options specified as HADOOP_OPTS
-# and therefore may override any similar flags set in HADOOP_OPTS
-#
-# export HADOOP_MOVER_OPTS=""
-
-###
-# Advanced Users Only!
-###
-
-# The directory where pid files are stored. /tmp by default.
-# NOTE: this should be set to a directory that can only be written to by 
-#       the user that will run the hadoop daemons.  Otherwise there is the
-#       potential for a symlink attack.
-export HADOOP_PID_DIR=${HADOOP_PID_DIR}
-export HADOOP_SECURE_DN_PID_DIR=${HADOOP_PID_DIR}
-
-# A string representing this instance of hadoop. $USER by default.
-export HADOOP_IDENT_STRING=$USER
diff --git a/dev/test-cluster/hdfs-site.xml b/dev/test-cluster/hdfs-site.xml
deleted file mode 100644
index 40fcbb5d6..000000000
--- a/dev/test-cluster/hdfs-site.xml
+++ /dev/null
@@ -1,32 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
-<!--
-  Licensed under the Apache License, Version 2.0 (the "License");
-  you may not use this file except in compliance with the License.
-  You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-  Unless required by applicable law or agreed to in writing, software
-  distributed under the License is distributed on an "AS IS" BASIS,
-  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-  See the License for the specific language governing permissions and
-  limitations under the License. See accompanying LICENSE file.
--->
-
-<!-- Put site-specific property overrides in this file. -->
-
-<configuration>
-	<property>
-		<name>dfs.replication</name>
-		<value>1</value>
-	</property>
-	<property>
-		<name>dfs.namenode.name.dir</name>
-		<value>/tmp/run/hdfs/namenode</value>
-	</property>
-	<property>
-		<name>dfs.datanode.data.dir</name>
-		<value>/tmp/run/hdfs/datanode</value>
-	</property>
-</configuration>
diff --git a/dev/test-cluster/setup-cluster.sh b/dev/test-cluster/setup-cluster.sh
deleted file mode 100755
index eea058f80..000000000
--- a/dev/test-cluster/setup-cluster.sh
+++ /dev/null
@@ -1,42 +0,0 @@
-#!/usr/bin/env bash
-
-WORK_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
-
-cd $WORK_DIR
-
-echo JAVA_HOME is $JAVA_HOME
-
-mkdir ~/opt
-cd ~/opt
-wget https://archive.apache.org/dist/spark/spark-3.0.0/spark-3.0.0-bin-hadoop2.7.tgz
-tar -xzf spark-3.0.0-bin-hadoop2.7.tgz
-wget https://archive.apache.org/dist/hadoop/core/hadoop-2.7.7/hadoop-2.7.7.tar.gz
-tar -xzf hadoop-2.7.7.tar.gz
-
-cd $WORK_DIR
-
-cp ./core-site.xml ~/opt/hadoop-2.7.7/etc/hadoop/
-cp ./hdfs-site.xml ~/opt/hadoop-2.7.7/etc/hadoop/
-cp ./yarn-site.xml ~/opt/hadoop-2.7.7/etc/hadoop/
-cp ./hadoop-env.sh ~/opt/hadoop-2.7.7/etc/hadoop/
-cp ./spark-defaults.conf ~/opt/spark-3.0.0-bin-hadoop2.7/conf
-
-# create directories
-mkdir -p /tmp/run/hdfs/namenode
-mkdir -p /tmp/run/hdfs/datanode
-
-# hdfs format
-~/opt/hadoop-2.7.7/bin/hdfs namenode -format
-
-export HADOOP_HOME=~/opt/hadoop-2.7.7
-export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
-export SPARK_HOME=~/opt/spark-3.0.0-bin-hadoop2.7
-
-export PATH=$HADOOP_HOME/bin:$SPARK_HOME/bin:$PATH
-
-# start hdfs and yarn
-$HADOOP_HOME/sbin/start-dfs.sh
-$HADOOP_HOME/sbin/start-yarn.sh
-
-hadoop fs -ls /
-yarn node -list
diff --git a/dev/test-cluster/setup-python3-env.sh b/dev/test-cluster/setup-python3-env.sh
deleted file mode 100755
index 29208dc5e..000000000
--- a/dev/test-cluster/setup-python3-env.sh
+++ /dev/null
@@ -1,12 +0,0 @@
-#!/usr/bin/env bash
-
-sudo apt-get update
-sudo apt-get install python3-pip python3-setuptools python3-wheel
-
-pip3 install --user numpy
-
-echo python is in $(which python) 
-python --version
-
-echo python3 is in $(which python3) 
-python3 --version
diff --git a/dev/test-cluster/spark-defaults.conf b/dev/test-cluster/spark-defaults.conf
deleted file mode 100644
index 1c25bb2ec..000000000
--- a/dev/test-cluster/spark-defaults.conf
+++ /dev/null
@@ -1,34 +0,0 @@
-#
-# Licensed to the Apache Software Foundation (ASF) under one or more
-# contributor license agreements.  See the NOTICE file distributed with
-# this work for additional information regarding copyright ownership.
-# The ASF licenses this file to You under the Apache License, Version 2.0
-# (the "License"); you may not use this file except in compliance with
-# the License.  You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-# Default system properties included when running spark-submit.
-# This is useful for setting default environmental settings.
-
-# Example:
-# spark.master                     spark://master:7077
-# spark.eventLog.enabled           true
-# spark.eventLog.dir               hdfs://namenode:8021/directory
-# spark.serializer                 org.apache.spark.serializer.KryoSerializer
-# spark.driver.memory              5g
-# spark.executor.extraJavaOptions  -XX:+PrintGCDetails -Dkey=value -Dnumbers="one two three"
-
-spark.master                     yarn	
-spark.serializer                 org.apache.spark.serializer.KryoSerializer
-spark.driver.memory              3g
-spark.executor.num               2
-spark.executor.cores             1
-spark.executor.memory            4g
diff --git a/dev/test-cluster/workloads/kmeans-pyspark.py b/dev/test-cluster/workloads/kmeans-pyspark.py
deleted file mode 100644
index cf93e6034..000000000
--- a/dev/test-cluster/workloads/kmeans-pyspark.py
+++ /dev/null
@@ -1,70 +0,0 @@
-#
-# Licensed to the Apache Software Foundation (ASF) under one or more
-# contributor license agreements.  See the NOTICE file distributed with
-# this work for additional information regarding copyright ownership.
-# The ASF licenses this file to You under the Apache License, Version 2.0
-# (the "License"); you may not use this file except in compliance with
-# the License.  You may obtain a copy of the License at
-#
-#    http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-"""
-An example demonstrating k-means clustering.
-Run with:
-  bin/spark-submit examples/src/main/python/ml/kmeans_example.py
-
-This example requires NumPy (http://www.numpy.org/).
-"""
-from __future__ import print_function
-import sys
-
-# $example on$
-from pyspark.ml.clustering import KMeans
-from pyspark.ml.evaluation import ClusteringEvaluator
-# $example off$
-
-from pyspark.sql import SparkSession
-
-if __name__ == "__main__":
-    spark = SparkSession\
-        .builder\
-        .appName("KMeansExample")\
-        .getOrCreate()
-
-    if (len(sys.argv) != 2) :
-        println("Require data file path as input parameter")
-        sys.exit(1)
-
-    # $example on$
-    # Loads data.
-    dataset = spark.read.format("libsvm").load(sys.argv[1])
-
-    # Trains a k-means model.
-    kmeans = KMeans().setK(2).setSeed(1)
-    model = kmeans.fit(dataset)
-
-    # Make predictions
-    predictions = model.transform(dataset)
-
-    # Evaluate clustering by computing Silhouette score
-    evaluator = ClusteringEvaluator()
-
-    silhouette = evaluator.evaluate(predictions)
-    print("Silhouette with squared euclidean distance = " + str(silhouette))
-
-    # Shows the result.
-    centers = model.clusterCenters()
-    print("Cluster Centers: ")
-    for center in centers:
-        print(center)
-    # $example off$
-
-    spark.stop()
-
diff --git a/dev/test-cluster/workloads/run-kmeans-pyspark.sh b/dev/test-cluster/workloads/run-kmeans-pyspark.sh
deleted file mode 100755
index e07f3f7b6..000000000
--- a/dev/test-cluster/workloads/run-kmeans-pyspark.sh
+++ /dev/null
@@ -1,48 +0,0 @@
-#!/usr/bin/env bash
-
-source ../envs.sh
-
-# Data file is from Spark Examples (data/mllib/sample_kmeans_data.txt), the data file should be copied to HDFS
-$HADOOP_HOME/bin/hadoop fs -mkdir -p $OAP_MLLIB_DATA_ROOT
-$HADOOP_HOME/bin/hadoop fs -copyFromLocal $SPARK_HOME/data/mllib/sample_kmeans_data.txt $OAP_MLLIB_DATA_ROOT
-
-# User should check the requested resources are acturally allocated by cluster manager or Intel MLlib will behave incorrectly
-SPARK_MASTER=yarn
-SPARK_DRIVER_MEMORY=1G
-SPARK_NUM_EXECUTORS=2
-SPARK_EXECUTOR_CORES=1
-SPARK_EXECUTOR_MEMORY=1G
-
-SPARK_DEFAULT_PARALLELISM=$(expr $SPARK_NUM_EXECUTORS '*' $SPARK_EXECUTOR_CORES '*' 2)
-
-# ======================================================= #
-
-# Check env
-if [[ -z $SPARK_HOME ]]; then
-    echo SPARK_HOME not defined!
-    exit 1
-fi
-
-if [[ -z $HADOOP_HOME ]]; then
-    echo HADOOP_HOME not defined!
-    exit 1
-fi
-
-APP_PY="$OAP_MLLIB_ROOT/dev/test-cluster/workloads/kmeans-pyspark.py"
-DATA_FILE=$OAP_MLLIB_DATA_ROOT/sample_kmeans_data.txt
-
-$SPARK_HOME/bin/spark-submit --master $SPARK_MASTER -v \
-    --num-executors $SPARK_NUM_EXECUTORS \
-    --driver-memory $SPARK_DRIVER_MEMORY \
-    --executor-cores $SPARK_EXECUTOR_CORES \
-    --executor-memory $SPARK_EXECUTOR_MEMORY \
-    --conf "spark.serializer=org.apache.spark.serializer.KryoSerializer" \
-    --conf "spark.default.parallelism=$SPARK_DEFAULT_PARALLELISM" \
-    --conf "spark.sql.shuffle.partitions=$SPARK_DEFAULT_PARALLELISM" \
-    --conf "spark.driver.extraClassPath=$SPARK_DRIVER_CLASSPATH" \
-    --conf "spark.executor.extraClassPath=$SPARK_EXECUTOR_CLASSPATH" \    
-    --conf "spark.shuffle.reduceLocality.enabled=false" \
-    --conf "spark.network.timeout=1200s" \
-    --conf "spark.task.maxFailures=1" \
-    --jars $OAP_MLLIB_JAR \
-    $APP_PY $DATA_FILE
diff --git a/dev/test-cluster/yarn-site.xml b/dev/test-cluster/yarn-site.xml
deleted file mode 100644
index ff74d23a7..000000000
--- a/dev/test-cluster/yarn-site.xml
+++ /dev/null
@@ -1,67 +0,0 @@
-<?xml version="1.0"?>
-<!--
-  Licensed under the Apache License, Version 2.0 (the "License");
-  you may not use this file except in compliance with the License.
-  You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-  Unless required by applicable law or agreed to in writing, software
-  distributed under the License is distributed on an "AS IS" BASIS,
-  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-  See the License for the specific language governing permissions and
-  limitations under the License. See accompanying LICENSE file.
--->
-<configuration>
-	<!-- Site specific YARN configuration properties -->
-	<property>
-		<name>yarn.nodemanager.aux-services</name>
-		<value>mapreduce_shuffle</value>
-	</property>
-	<property>
-		<name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
-		<value>org.apache.hadoop.mapred.ShuffleHandler</value>
-	</property>
-	<property>
-		<name>yarn.resourcemanager.hostname</name>
-		<value>localhost</value>
-	</property>
-	<property>
-		<name>yarn.resourcemanager.address</name>
-		<value>localhost:8032</value>
-	</property>
-
-	<property>
-		<name>yarn.nodemanager.resource.memory-mb</name>
-		<value>7168</value>
-	</property>
-	<property>
-		<name>yarn.nodemanager.resource.cpu-vcores</name>
-		<value>2</value>
-	</property>
-	<property>
-		<name>yarn.nodemanager.vmem-check-enabled</name>
-		<value>false</value>
-	</property>
-	<property>
-		<name>yarn.nodemanager.vmem-pmem-ratio</name>
-		<value>2</value>
-	</property>
-	<property>
-		<name>yarn.scheduler.minimum-allocation-mb</name>
-		<value>1024</value>
-	</property>
-	<property>
-		<name>yarn.scheduler.maximum-allocation-mb</name>
-		<value>7168</value>
-	</property>
-	<property>
-		<name>yarn.scheduler.minimum-allocation-vcores</name>
-		<value>1</value>
-	</property>
-	<property>
-		<name>yarn.scheduler.maximum-allocation-vcores</name>
-		<value>2</value>
-	</property>
-
-</configuration>
diff --git a/mllib-dal/test-cluster.sh b/mllib-dal/test-cluster.sh
deleted file mode 100755
index 4f5a6132a..000000000
--- a/mllib-dal/test-cluster.sh
+++ /dev/null
@@ -1,5 +0,0 @@
-#!/usr/bin/env bash
-
-cd ../dev/test-cluster/workloads
-
-./run-kmeans-pyspark.sh