A Hadoop-Based Output Analyzer for Large-Scale Simulation Data
Kangsun Lee, Joonho Park · 2014
As modern simulations involve large inputs and outputs over the network, there is an increasing need to store, manage and analyze the massive datasets, efficiently. In this paper, we present ARLS (After action Reviewer for Large-Scale simulation data), a Hadoop-based output analysis tool for large-scale simulation datasets. ARLS clusters distributed storages using Hadoop and analyzes the large-scale datasets using MapReduce. According to the experiments we have conducted, ARLS improved data processing time significantly comparing to the traditional output analysis tools.