Benchmarking MapReduce implementations under different application scenarios
We compare performance of various MapReduce frameworks using several applications. We examine data, CPU, memory intensive and iterative application scenarios. We evaluate the performances on faulty, heterogeneous, and load-imbalanced clusters. We map the performance results to design decisions of each MapReduce framework. We present the strength of all the implementations featured in this study.
benchmarking mapreduce distributed computing hadoop