Adaptiveness in Map-Reduce using MPI

MapReduce is an emerging programming paradigm for data parallel applications proposed by Google to simplify large-scale data processing. MapReduce implementation consists of map function that processes input key/value pairs to generate intermediate key/value pairs and reduce function that merges and converts intermediate key/value pairs into final results. The reduce function can only start processing after completion of the map function. Due to dependencies between map and reduce function, if the map function is slow for any reason, this will affect the whole running time. In this technique, the message passing interface (MPI) strategies is used to implement MapReduce which reduces the runtime and optimized data