Before revision:  Three standard applications (WordCount, Exim Mainlog parsingand Terasort)are used to evaluate our modeling technique on pseudo-distributed MapReduce platforms . Results show that our automated model generation procedure can effectively characterize total CPU clock tick of these applications with average prediction error of 3.5\% , 4.05\% and 2.75\%, respectively .
After revision:  Three standard applications (WordCount, Exim Mainlog parsingand Terasort)are used to evaluate our modeling technique on pseudo-distributed MapReduce platforms . Results show that the predicted total CPU usage in clock cycles of generated resource provisioning options are less than 8\% of the measured total CPU usage in clock cycles in our 20-node virtual Hadoop cluster .