A Model-Based Namespace Metadata Benchmark for HDFS
Authors:
Cristina L. Abad, Escuela Superior Politécnica del Litoral; Yi Lu and Roy H. Campbell, University of Illinois at Urbana-Champaign; Nathan Roberts, Yahoo, Inc.
Abstract:
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).
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BibTeX
@inproceedings {183083,
author = {Cristina L. Abad and Yi Lu and Roy H. Campbell and Nathan Roberts},
title = {A {Model-Based} Namespace Metadata Benchmark for {HDFS}},
booktitle = {11th International Conference on Autonomic Computing (ICAC 14)},
year = {2014},
isbn = {978-1-931971-11-9},
address = {Philadelphia, PA},
pages = {113--119},
url = {https://www.usenix.org/conference/icac14/technical-sessions/presentation/abad},
publisher = {USENIX Association},
month = jun
}
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