Performance impact of JobTracker failure in Hadoop

Summary In this paper, we analyze the performance impact of JobTracker failure in Hadoop. A JobTracker failure is a serious problem that affects the overall job processing performance. We describe the cause of failure and the system behaviors because of failed job processing in the Hadoop. On the basis of the analysis, we build a job completion time model that reflects failure effects. Our model is based on a stochastic process with a node crash probability. With our model, we run simulation of performance impact with very credible failure data available from USENIX called computer failure data repository that have been collected for past 9 years. The results show that the performance impact is very severe in that the job completion time increases about four times typically, and in a worst case, it increases up to 68 times. Copyright © 2014 John Wiley & Sons, Ltd. In this paper, we analyze the performance impact of JobTracker failure in Hadoop. We build a job completion time model that reflects failure effects. Our model is based on a stochastic process with a node crash probability. We run a simulation of performance impact with credible failure data available from USENIX computer failure data repository. The results show that the job completion time increases about four times typically, and in a worst case, it increases up to 68 times.