Survey on improving the performance of MapReduce in Hadoop

Abstract

Hadoop has become the most popular and the most used platform in distributed data processing, Hadoop is also an open-source software that implements the MapReduce model for processing big data, it has taken a large part in scientific research in the field of big data, a lot of research has addressed allocation and scheduling in Hadoop system, in this paper we will present the main research done in improving the performance of the MapReduce model of Hadoop platform. The Most previous surveys only focused on Hadoop MapReduce scheduling and how to ameliorate it, but this paper tries to give an overview of the important work that aim to improve the performance of Hadoop MapReduce from different sides (energy, budget, scheduling, makespan …).