Performance Comparison Between Hama and Hadoop
Shuo Li, Baomin Xu · International Journal of Database Theory and Application · 2015
Massive scientific computations such as matrix, graph and network algorithms are very attractive when they come to modelling real-world data.Apache Hama is a pure BSP (Bulk Synchronous Parallel) distributed computing framework for massive scientific computations.In this paper, our experiments were conducted on a 4-node Hadoop cluster.We implement Monte Carlo algorithm of Pi in Hama and Hadoop under the same software and hardware environment.The experimental results show that Hama can achieve much higher performance than Hadoop in our testbed.