diff --git a/core/src/main/scala/org/apache/spark/sql/rapids/tool/util/RuntimeUtil.scala b/core/src/main/scala/org/apache/spark/sql/rapids/tool/util/RuntimeUtil.scala
index d39323c7a..02a16f17d 100644
--- a/core/src/main/scala/org/apache/spark/sql/rapids/tool/util/RuntimeUtil.scala
+++ b/core/src/main/scala/org/apache/spark/sql/rapids/tool/util/RuntimeUtil.scala
@@ -17,6 +17,9 @@
 package org.apache.spark.sql.rapids.tool.util
 
 import java.io.{PrintWriter, StringWriter}
+import java.lang.management.ManagementFactory
+
+import scala.collection.convert.ImplicitConversions.`collection AsScalaIterable`
 
 import com.nvidia.spark.rapids.tool.ToolTextFileWriter
 import org.apache.hadoop.conf.Configuration
@@ -49,6 +52,12 @@ object RuntimeUtil extends Logging {
     // Add the Spark version used in runtime.
     // Note that it is different from the Spark version used in the build.
     buildProps.setProperty("runtime.spark.version", ToolUtils.sparkRuntimeVersion)
+    // Add the JVM and OS information
+    getJVMOSInfo.foreach {
+      kv => buildProps.setProperty(s"runtime.${kv._1}", kv._2)
+    }
+    // get the JVM memory arguments
+    getJVMHeapArguments.foreach(kv => buildProps.setProperty(s"runtime.${kv._1}", kv._2))
     val reportWriter = new ToolTextFileWriter(outputDir, REPORT_FILE_NAME, REPORT_LABEL, hadoopConf)
     try {
       reportWriter.writeProperties(buildProps, REPORT_LABEL)
@@ -73,6 +82,30 @@ object RuntimeUtil extends Logging {
       "os.version" -> System.getProperty("os.version")
     )
   }
-}
 
+  def getJVMHeapArguments: Map[String, String] = {
+    val gcMxBeans = ManagementFactory.getGarbageCollectorMXBeans
+    gcMxBeans.foreach(_.getName)
 
+    val jvmHeapGCArgs = ManagementFactory.getRuntimeMXBean.getInputArguments.filter(
+      p => p.startsWith("-Xmx") || p.startsWith("-Xms") || p.startsWith("-XX:")).map {
+      sizeArg =>
+        if (sizeArg.startsWith("-Xmx")) {
+          ("jvm.arg.heap.max", sizeArg.drop(4))
+        } else if (sizeArg.startsWith("-Xms")) {
+          ("jvm.arg.heap.min", sizeArg.drop(4))
+        } else { // this is heap argument
+          // drop the first "-XX:"
+          val dropSize = if (sizeArg.startsWith("-XX:+")) 5 else 4
+          val parts = sizeArg.drop(dropSize).split("=")
+          if (parts.length == 2) {
+            (s"jvm.arg.gc.${parts(0)}", parts(1))
+          } else {
+            (s"jvm.arg.gc.${parts(0)}", "")
+          }
+        }
+    }
+    // get remaining GC arguments
+    jvmHeapGCArgs.toMap
+  }
+}
diff --git a/user_tools/src/spark_rapids_pytools/rapids/rapids_tool.py b/user_tools/src/spark_rapids_pytools/rapids/rapids_tool.py
index 55b91d81c..5f8d5cf1a 100644
--- a/user_tools/src/spark_rapids_pytools/rapids/rapids_tool.py
+++ b/user_tools/src/spark_rapids_pytools/rapids/rapids_tool.py
@@ -878,11 +878,16 @@ def _re_evaluate_platform_args(self, tool_name: str) -> dict:
         job_args = self.ctxt.get_ctxt('jobArgs')
         result = copy.deepcopy(job_args)
         job_resources = self._get_job_submission_resources(tool_name)
+        jvm_min_heap = job_resources['jvmMinHeapSize']
         jvm_max_heap = job_resources['jvmMaxHeapSize']
-        jvm_heap_key = f'Xmx{jvm_max_heap}g'
+        jvm_max_heap_key = f'Xmx{jvm_max_heap}g'
+        jvm_min_heap_key = f'Xms{jvm_min_heap}g'
         # At this point, we need to set the heap argument for the JVM. Otherwise, the process uses
         # its default values.
-        result['platformArgs']['jvmArgs'].update({jvm_heap_key: ''})
+        result['platformArgs']['jvmArgs'].update({
+            jvm_min_heap_key: '',
+            jvm_max_heap_key: ''
+        })
         return result
 
     @timeit('Building Job Arguments and Executing Job CMD')  # pylint: disable=too-many-function-args
diff --git a/user_tools/src/spark_rapids_tools/utils/util.py b/user_tools/src/spark_rapids_tools/utils/util.py
index ab90c34ea..cc449a4d0 100644
--- a/user_tools/src/spark_rapids_tools/utils/util.py
+++ b/user_tools/src/spark_rapids_tools/utils/util.py
@@ -291,13 +291,18 @@ def adjust_tools_resources(cls,
         else:
             prof_threads = max(1, jvm_threads - num_threads_unit) if concurrent_mode else jvm_threads
 
+        # calculate the min heap size based on the max heap size
+        min_heap = max(1, heap_unit // 2)
+
         return {
             'qualification': {
                 'jvmMaxHeapSize': heap_unit,
+                'jvmMinHeapSize': min_heap,
                 'rapidsThreads': num_threads_unit
             },
             'profiling': {
                 'jvmMaxHeapSize': prof_heap,
+                'jvmMinHeapSize': min_heap,
                 'rapidsThreads': prof_threads
             }
         }