On the Duality of Data-intensive File System Design: Reconciling HDFS and PVFS

TitleOn the Duality of Data-intensive File System Design: Reconciling HDFS and PVFS
Publication TypeConference Paper
Year of Publication2011
AuthorsTantisiriroj, W, Patil, S, Gibson, G, Son, SW, Lang, S, Ross, RB
Conference NameProc. SciDAC 2011 Conference
Date Published11/2011
PublisherProcedia Computer Science
Conference LocationDenver, CO
Other NumbersANL/MCS-P1934-0911

Data-intensive applications fall into two computing styles: Internet services (cloud computing) or high-performance computing (HPC). In both categories, the underlying the system is a key component for scalable application performance. In this paper, we explore the similarities and differences between PVFS, a parallel file system used in HPC at large scale, and HDFS, the primary storage system used in cloud computing with Hadoop. We integrate PVFS into Hadoop and compare its performance to HDFS using a set of data-intensive computing benchmarks. We study how HDFS-specific optimizations can be matched using PVFS and how consistency, durability, and persistence tradeoffs made by these file systems affect application performance. We show how to embed multiple replicas into a PVFS file, including a mapping with a complete copy local to the writing client, to emulate HDFS's file layout policies. We also highlight implementation issues with HDFS's dependence on disk bandwidth and benefits from pipelined replication.