diff --git a/core/src/main/scala/org/apache/spark/executor/ExecutorSource.scala b/core/src/main/scala/org/apache/spark/executor/ExecutorSource.scala
index 669ce63325d0e..a8264022a0aff 100644
--- a/core/src/main/scala/org/apache/spark/executor/ExecutorSource.scala
+++ b/core/src/main/scala/org/apache/spark/executor/ExecutorSource.scala
@@ -17,9 +17,12 @@
 
 package org.apache.spark.executor
 
+import java.lang.management.ManagementFactory
 import java.util.concurrent.ThreadPoolExecutor
+import javax.management.{MBeanServer, ObjectName}
 
 import scala.collection.JavaConverters._
+import scala.util.control.NonFatal
 
 import com.codahale.metrics.{Gauge, MetricRegistry}
 import org.apache.hadoop.fs.FileSystem
@@ -73,6 +76,24 @@ class ExecutorSource(threadPool: ThreadPoolExecutor, executorId: String) extends
     registerFileSystemStat(scheme, "write_ops", _.getWriteOps(), 0)
   }
 
+  // Dropwizard metrics gauge measuring the executor's process CPU time.
+  // This Gauge will try to get and return the JVM Process CPU time or return -1 otherwise.
+  // The CPU time value is returned in nanoseconds.
+  // It will use proprietary extensions such as com.sun.management.OperatingSystemMXBean or
+  // com.ibm.lang.management.OperatingSystemMXBean, if available.
+  metricRegistry.register(MetricRegistry.name("jvmCpuTime"), new Gauge[Long] {
+    val mBean: MBeanServer = ManagementFactory.getPlatformMBeanServer
+    val name = new ObjectName("java.lang", "type", "OperatingSystem")
+    override def getValue: Long = {
+      try {
+        // return JVM process CPU time if the ProcessCpuTime method is available
+        mBean.getAttribute(name, "ProcessCpuTime").asInstanceOf[Long]
+      } catch {
+        case NonFatal(_) => -1L
+      }
+    }
+  })
+
   // Expose executor task metrics using the Dropwizard metrics system.
   // The list is taken from TaskMetrics.scala
   val METRIC_CPU_TIME = metricRegistry.counter(MetricRegistry.name("cpuTime"))