Different Technologies for Improving the Performance of Hadoop

Abstract: Hadoop is a popular open-source implementation of the MapReduce programming model for Cloud Computing. However, it faces a number of issue to achieve the best performance from the underlying system. It include a serialization barrier that delays the reduce phase, repetitive merges and disk access, and lack of capability to leverage latest high-speed interconnects. We express some technologies which are helpful for improve the performance of Hadoop. The technologies are Hadoop-A, iShuffle, TCP/IP implementation of Hadoop-A, Hadoop OFE, Hadoop online are used for regret the performance of Hadoop.

Keywords: Hadoop, MapReduce, JobTracker, TaskTracker, MapTask, RDMA, InfiniBand, MOFSupplier, NetMerger, iShuffle, OFE.