Active burst-buffer: In-transit processing integrated into hierarchical storage

The data volume of many scientific applications has substantially increased in the past decade and continues to increase due to the rising needs of high-resolution and fine- granularity scientific discovery. The data movement between stor- age and compute nodes has become a critical performance factor and has attracted intense research and development attention in recent years. In this paper, we propose a novel solution, named Active burst-buffer, to reduce the unnecessary data movement and to speed up scientific workflow. Active burst-buffer enhances the existing burst-buffer concept with analysis capabilities by reconstructing the cached data to a logic file and providing a MapReduce-like computing framework for programming and executing the analysis codes. An extensive set of experiments were conducted to evaluate the performance of Active burst-buffer by comparing it against existing mainstream schemes, and more than 30% improvements were observed. The evaluations confirm that Active burst-buffer is capable of enabling efficient data analysis in-transit on burst-buffer nodes and is a promising solution to scientific discoveries with large-scale data sets.