A Model-Based Namespace Metadata Benchmark for HDFS

Efficient namespace metadata management is increasingly important as next-generation storage systems are designed for peta and exascales. New schemes have been proposed; however, their evaluation has been insufficient due to a lack of an appropriate namespace metadata benchmark. We describe MimesisBench, a novel namespace metadata benchmark for next-generation storage systems, and demonstrate its usefulness through a study of the scalability and performance of the Hadoop Distributed File System (HDFS).