A web interface for XALT log data analysis
Ruizhu Huang, Weijia Xu, Robert McLay · 2016
XALT is a job-monitoring tool to collect accurate, detailed, and continuous job level and link-time data on all MPI jobs running on a computing cluster. Due to its usefulness and complementariness to other system logs, XALT has been deployed on Stampede at Texas Advanced Computing Center and other high performance computing resources around the world. The data collected by XALT can be extremely valuable to help resource providers understanding resources usages and identify patterns and insights for future improvements. However, the volume of data collected by XALT grows quickly over time on large system and presents challenges for access and analysis. In this paper, we describe development of a prototype tool to analyze and visualize XALT data. The application utilizes Spark for efficient data processing over large volume of log data and R for interactive visualization of the results over the web. The application provides an easy to use interface for users to conveniently share and communicate executable usage and patterns without prerequisite knowledge on big data technology. In this paper, we detail the features of this tool, current development status, performance evaluation and exemplar use cases.