Burst buffers are becoming an indispensable hardware resource on large-scale supercomputers to buffer the bursty I/O from scientific applications. However, there is a lack of software support for burst buffers to be efficiently shared by applications within a batch-submitted job and recycled across different batch jobs. In addition, burst buffers need to cope with a variety of challenging I/O patterns from data-intensive scientific applications. In this study, we have designed an ephemeral Burst Buffer File System (BurstFS) that supports scalable and efficient aggregation of I/O bandwidth from burst buffers while having the same life cycle as a batch-submitted job. BurstFS features several techniques including scalable metadata indexing, co-located I/O delegation, and server-side read clustering and pipelining. Through extensive tuning and analysis, we have validated that BurstFS has accomplished our design objectives, with linear scalability in terms of aggregated I/O bandwidth for parallel writes and reads.
['Teng Wang', 'Kathryn Mohror', 'Adam Moody', 'Kento Sato', 'Weikuan Yu']
An ephemeral burst-buffer file system for scientific applications