diff --git a/mllib-dal/src/main/java/org/apache/spark/ml/util/LibLoader.java b/mllib-dal/src/main/java/org/apache/spark/ml/util/LibLoader.java
index d8ea09a23..ed83f3fe8 100644
--- a/mllib-dal/src/main/java/org/apache/spark/ml/util/LibLoader.java
+++ b/mllib-dal/src/main/java/org/apache/spark/ml/util/LibLoader.java
@@ -21,8 +21,7 @@
 import java.io.*;
 import java.util.UUID;
 import java.util.logging.Level;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
+import java.util.logging.Logger;
 
 import com.intel.daal.utils.LibUtils;
 
@@ -31,7 +30,8 @@ public final class LibLoader {
     // Make sure loading libraries from different temp directory for each process
     private final static String subDir = "MLlibDAL_" + UUID.randomUUID();
 
-    private static final Logger log = LoggerFactory.getLogger("LibLoader");
+    private static final Logger logger = Logger.getLogger(LibLoader.class.getName());
+    private static final Level logLevel = Level.INFO;
 
     /**
      * Get temp dir for exacting lib files
@@ -81,12 +81,12 @@ private static synchronized void loadLibMLlibDAL() throws IOException {
      * @param name library name
      */
     private static void loadFromJar(String path, String name) throws IOException {
-        log.debug("Loading " + name + " ...");
+        logger.log(logLevel, "Loading " + name + " ...");
 
         File fileOut = createTempFile(path, name);
         // File exists already
         if (fileOut == null) {
-            log.debug("DONE: Loading library as resource.");
+            logger.log(logLevel, "DONE: Loading library as resource.");
             return;
         }
 
@@ -96,7 +96,7 @@ private static void loadFromJar(String path, String name) throws IOException {
         }
 
         try (OutputStream streamOut = new FileOutputStream(fileOut)) {
-            log.debug("Writing resource to temp file.");
+            logger.log(logLevel, "Writing resource to temp file.");
 
             byte[] buffer = new byte[32768];
             while (true) {
@@ -115,7 +115,7 @@ private static void loadFromJar(String path, String name) throws IOException {
         }
 
         System.load(fileOut.toString());
-        log.debug("DONE: Loading library as resource.");
+        logger.log(logLevel, "DONE: Loading library as resource.");
     }
 
     /**
diff --git a/mllib-dal/src/main/native/OneCCL.cpp b/mllib-dal/src/main/native/OneCCL.cpp
index 3927968e6..0f6c774c1 100644
--- a/mllib-dal/src/main/native/OneCCL.cpp
+++ b/mllib-dal/src/main/native/OneCCL.cpp
@@ -23,7 +23,7 @@ ccl::communicator &getComm() {
 JNIEXPORT jint JNICALL Java_org_apache_spark_ml_util_OneCCL_00024_c_1init
   (JNIEnv *env, jobject obj, jint size, jint rank, jstring ip_port, jobject param) {
   
-  std::cerr << "OneCCL (native): init" << std::endl;
+  std::cout << "oneCCL (native): init" << std::endl;
 
   auto t1 = std::chrono::high_resolution_clock::now();
 
@@ -42,7 +42,7 @@ JNIEXPORT jint JNICALL Java_org_apache_spark_ml_util_OneCCL_00024_c_1init
 
   auto t2 = std::chrono::high_resolution_clock::now();
   auto duration = std::chrono::duration_cast<std::chrono::seconds>( t2 - t1 ).count();
-  std::cerr << "OneCCL (native): init took " << duration << " secs" << std::endl;
+  std::cout << "oneCCL (native): init took " << duration << " secs" << std::endl;
 
   rank_id = getComm().rank();
   comm_size = getComm().size();
@@ -68,7 +68,7 @@ JNIEXPORT void JNICALL Java_org_apache_spark_ml_util_OneCCL_00024_c_1cleanup
 
   g_comms.pop_back();
 
-  std::cerr << "OneCCL (native): cleanup" << std::endl;
+  std::cout << "oneCCL (native): cleanup" << std::endl;
 
 }
 
@@ -112,24 +112,6 @@ JNIEXPORT jint JNICALL Java_org_apache_spark_ml_util_OneCCL_00024_setEnv
     return err;
 }
 
-#define GET_IP_CMD            "hostname -I"
-#define MAX_KVS_VAL_LENGTH    130
-#define READ_ONLY             "r"
-
-static bool is_valid_ip(char ip[]) {
-    FILE *fp;
-    // TODO: use getifaddrs instead of popen
-    if ((fp = popen(GET_IP_CMD, READ_ONLY)) == NULL) {
-        printf("Can't get host IP\n");
-        exit(1);
-    }
-    char host_ips[MAX_KVS_VAL_LENGTH];
-    fgets(host_ips, MAX_KVS_VAL_LENGTH, fp);
-    pclose(fp);
-
-    return strstr(host_ips, ip) ? true : false;
-}
-
 /*
  * Class:     org_apache_spark_ml_util_OneCCL__
  * Method:    getAvailPort
@@ -138,18 +120,12 @@ static bool is_valid_ip(char ip[]) {
 JNIEXPORT jint JNICALL Java_org_apache_spark_ml_util_OneCCL_00024_getAvailPort
   (JNIEnv *env, jobject obj, jstring localIP) {
 
-  // start from beginning of dynamic port
   const int port_start_base = 3000;
 
   char* local_host_ip = (char *) env->GetStringUTFChars(localIP, NULL);
 
-  // check if the input ip is one of host's ips
-  if (!is_valid_ip(local_host_ip))
-    return -1;
-
   struct sockaddr_in main_server_address;
   int server_listen_sock;
-  in_port_t port = port_start_base;
 
   if ((server_listen_sock = socket(AF_INET, SOCK_STREAM, 0)) < 0) {
     perror("OneCCL (native) getAvailPort error!");
@@ -158,19 +134,17 @@ JNIEXPORT jint JNICALL Java_org_apache_spark_ml_util_OneCCL_00024_getAvailPort
 
   main_server_address.sin_family = AF_INET;
   main_server_address.sin_addr.s_addr = inet_addr(local_host_ip);
-  main_server_address.sin_port = htons(port);
+  main_server_address.sin_port = port_start_base;
 
-  // search for available port
   while (bind(server_listen_sock,
          (const struct sockaddr *)&main_server_address,
          sizeof(main_server_address)) < 0) {
-    port++;
-    main_server_address.sin_port = htons(port);
+    main_server_address.sin_port++;
   }
 
-  close(server_listen_sock);  
+  close(server_listen_sock);
 
   env->ReleaseStringUTFChars(localIP, local_host_ip);
 
-  return port;
+  return main_server_address.sin_port;
 }
diff --git a/mllib-dal/src/main/scala/org/apache/spark/ml/clustering/KMeansDALImpl.scala b/mllib-dal/src/main/scala/org/apache/spark/ml/clustering/KMeansDALImpl.scala
index f531b46a5..2ac551745 100644
--- a/mllib-dal/src/main/scala/org/apache/spark/ml/clustering/KMeansDALImpl.scala
+++ b/mllib-dal/src/main/scala/org/apache/spark/ml/clustering/KMeansDALImpl.scala
@@ -43,7 +43,7 @@ class KMeansDALImpl (
     val executorIPAddress = Utils.sparkFirstExecutorIP(data.sparkContext)
     val kvsIP = data.sparkContext.conf.get("spark.oap.mllib.oneccl.kvs.ip", executorIPAddress)
 
-    val kvsPortDetected = Utils.checkExecutorAvailPort(data, kvsIP)
+    val kvsPortDetected = Utils.checkExecutorAvailPort(data.sparkContext, kvsIP)
     val kvsPort = data.sparkContext.conf.getInt("spark.oap.mllib.oneccl.kvs.port", kvsPortDetected)
 
     val kvsIPPort = kvsIP+"_"+kvsPort
@@ -70,14 +70,14 @@ class KMeansDALImpl (
       val it = entry._3
       val numCols = partitionDims(index)._2
 	  
-      logDebug(s"KMeansDALImpl: Partition index: $index, numCols: $numCols, numRows: $numRows")
+      println(s"KMeansDALImpl: Partition index: $index, numCols: $numCols, numRows: $numRows")
 
       // Build DALMatrix, this will load libJavaAPI, libtbb, libtbbmalloc
       val context = new DaalContext()
       val matrix = new DALMatrix(context, classOf[java.lang.Double],
         numCols.toLong, numRows.toLong, NumericTable.AllocationFlag.DoAllocate)
 
-      logDebug("KMeansDALImpl: Loading native libraries" )
+      println("KMeansDALImpl: Loading native libraries" )
       // oneDAL libs should be loaded by now, extract libMLlibDAL.so to temp file and load
       LibLoader.loadLibraries()
 
diff --git a/mllib-dal/src/main/scala/org/apache/spark/ml/feature/PCADALImpl.scala b/mllib-dal/src/main/scala/org/apache/spark/ml/feature/PCADALImpl.scala
index 1b3f9ddf0..15ee0538e 100644
--- a/mllib-dal/src/main/scala/org/apache/spark/ml/feature/PCADALImpl.scala
+++ b/mllib-dal/src/main/scala/org/apache/spark/ml/feature/PCADALImpl.scala
@@ -18,20 +18,19 @@
 package org.apache.spark.ml.feature
 
 import java.util.Arrays
+
 import com.intel.daal.data_management.data.{HomogenNumericTable, NumericTable}
-import org.apache.spark.internal.Logging
 import org.apache.spark.ml.linalg._
 import org.apache.spark.ml.util.{OneCCL, OneDAL, Utils}
 import org.apache.spark.mllib.feature.{PCAModel => MLlibPCAModel}
 import org.apache.spark.mllib.linalg.{DenseMatrix => OldDenseMatrix, Vectors => OldVectors}
 import org.apache.spark.rdd.RDD
-import org.apache.spark.mllib.feature.{StandardScaler => MLlibStandardScaler}
+import org.apache.spark.mllib.feature.{ StandardScaler => MLlibStandardScaler }
 
 class PCADALImpl (
     val k: Int,
     val executorNum: Int,
-    val executorCores: Int)
-  extends Serializable with Logging {
+    val executorCores: Int) extends Serializable {
 
   // Normalize data before apply fitWithDAL
   private def normalizeData(input: RDD[Vector]) : RDD[Vector] = {
@@ -50,7 +49,7 @@ class PCADALImpl (
     val executorIPAddress = Utils.sparkFirstExecutorIP(data.sparkContext)
     val kvsIP = data.sparkContext.conf.get("spark.oap.mllib.oneccl.kvs.ip", executorIPAddress)
 
-    val kvsPortDetected = Utils.checkExecutorAvailPort(data, kvsIP)
+    val kvsPortDetected = Utils.checkExecutorAvailPort(data.sparkContext, kvsIP)
     val kvsPort = data.sparkContext.conf.getInt("spark.oap.mllib.oneccl.kvs.port", kvsPortDetected)
 
     val kvsIPPort = kvsIP+"_"+kvsPort
diff --git a/mllib-dal/src/main/scala/org/apache/spark/ml/util/OneCCL.scala b/mllib-dal/src/main/scala/org/apache/spark/ml/util/OneCCL.scala
index 32b66a247..a0a1679e9 100644
--- a/mllib-dal/src/main/scala/org/apache/spark/ml/util/OneCCL.scala
+++ b/mllib-dal/src/main/scala/org/apache/spark/ml/util/OneCCL.scala
@@ -17,24 +17,50 @@
 
 package org.apache.spark.ml.util
 
-import org.apache.spark.internal.Logging
+import org.apache.spark.SparkConf
 
-object OneCCL extends Logging {
+object OneCCL {
 
   var cclParam = new CCLParam()
 
+//  var kvsIPPort = sys.env.getOrElse("CCL_KVS_IP_PORT", "")
+//  var worldSize = sys.env.getOrElse("CCL_WORLD_SIZE", "1").toInt
+
+//  var kvsPort = 5000
+
+//  private def checkEnv() {
+//    val altTransport = sys.env.getOrElse("CCL_ATL_TRANSPORT", "")
+//    val pmType = sys.env.getOrElse("CCL_PM_TYPE", "")
+//    val ipExchange = sys.env.getOrElse("CCL_KVS_IP_EXCHANGE", "")
+//
+//    assert(altTransport == "ofi")
+//    assert(pmType == "resizable")
+//    assert(ipExchange == "env")
+//    assert(kvsIPPort != "")
+//
+//  }
+
   // Run on Executor
-  def setExecutorEnv(): Unit = {
-    setEnv("CCL_ATL_TRANSPORT","ofi")
-    // Uncomment this if you whant to debug oneCCL
-    // setEnv("CCL_LOG_LEVEL", "2")
-  }
+//  def setExecutorEnv(executor_num: Int, ip: String, port: Int): Unit = {
+//    // Work around ccl by passings in a spark.executorEnv.CCL_KVS_IP_PORT.
+//    val ccl_kvs_ip_port = sys.env.getOrElse("CCL_KVS_IP_PORT", s"${ip}_${port}")
+//
+//    println(s"oneCCL: Initializing with CCL_KVS_IP_PORT: $ccl_kvs_ip_port")
+//
+//    setEnv("CCL_PM_TYPE", "resizable")
+//    setEnv("CCL_ATL_TRANSPORT","ofi")
+//    setEnv("CCL_ATL_TRANSPORT_PATH", LibLoader.getTempSubDir())
+//    setEnv("CCL_KVS_IP_EXCHANGE","env")
+//    setEnv("CCL_KVS_IP_PORT", ccl_kvs_ip_port)
+//    setEnv("CCL_WORLD_SIZE", s"${executor_num}")
+//    // Uncomment this if you whant to debug oneCCL
+//    // setEnv("CCL_LOG_LEVEL", "2")
+//  }
 
   def init(executor_num: Int, rank: Int, ip_port: String) = {
 
-    setExecutorEnv()
-
-    logInfo(s"Initializing with IP_PORT: ${ip_port}")
+//    setExecutorEnv(executor_num, ip, port)
+    println(s"oneCCL: Initializing with IP_PORT: ${ip_port}")
 
     // cclParam is output from native code
     c_init(executor_num, rank, ip_port, cclParam)
@@ -42,7 +68,11 @@ object OneCCL extends Logging {
     // executor number should equal to oneCCL world size
     assert(executor_num == cclParam.commSize, "executor number should equal to oneCCL world size")
 
-    logInfo(s"Initialized with executorNum: $executor_num, commSize, ${cclParam.commSize}, rankId: ${cclParam.rankId}")
+    println(s"oneCCL: Initialized with executorNum: $executor_num, commSize, ${cclParam.commSize}, rankId: ${cclParam.rankId}")
+
+    // Use a new port when calling init again
+//    kvsPort = kvsPort + 1
+
   }
 
   // Run on Executor
diff --git a/mllib-dal/src/main/scala/org/apache/spark/ml/util/Utils.scala b/mllib-dal/src/main/scala/org/apache/spark/ml/util/Utils.scala
index aa8eb8979..14cf1ab27 100644
--- a/mllib-dal/src/main/scala/org/apache/spark/ml/util/Utils.scala
+++ b/mllib-dal/src/main/scala/org/apache/spark/ml/util/Utils.scala
@@ -71,13 +71,13 @@ object Utils {
     ip
   }
 
-  def checkExecutorAvailPort(data: RDD[_], localIP: String) : Int = {
-    val sc = data.sparkContext
-    val result = data.mapPartitions { p =>
+  def checkExecutorAvailPort(sc: SparkContext, localIP: String) : Int = {
+    val executor_num = Utils.sparkExecutorNum(sc)
+    val data = sc.parallelize(1 to executor_num, executor_num)
+    val result = data.mapPartitionsWithIndex { (index, p) =>
       LibLoader.loadLibraries()
-      val port = OneCCL.getAvailPort(localIP)
-      if (port != -1)
-        Iterator(port)
+      if (index == 0)
+        Iterator(OneCCL.getAvailPort(localIP))
       else
         Iterator()
     }.collect()