@inproceedings{522133b8c4a74218afe9e36ceead701b,
title = "A fine-grained performance bottleneck analysis method for HDFS",
abstract = "The performance issue of HDFS has always been a great concern due to its widely adoption in both production and research environments. However, a fine-grained performance analysis tool is missing to effectively identify the bottlenecks as well as to provide useful guidance for performance optimization. In this paper, we propose a fine-grained performance bottleneck analysis tool, which extends HTrace with fine-grained instrumentation points that are missing in Hadoop official distribution. In addition, we propose an effective trace merging method that improves the understandability of our analysis. We analyze the performance of HDFS under different kinds of workloads and get undiscovered insights.",
keywords = "Bottleneck analysis, HDFS, Instrumentation, Performance optimization",
author = "Yi Liu and Yunchun Li and Honggang Zhou and Jingyi Zhang and Hailong Yang and Wei Li",
note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2018.; 15th IFIP International Conference on Network and Parallel Computing, NPC 2018 ; Conference date: 29-11-2018 Through 01-12-2018",
year = "2018",
doi = "10.1007/978-3-030-05677-3\_17",
language = "英语",
isbn = "9783030056766",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "159--163",
editor = "Marc Snir and Mateo Valero and Feng Zhang and Hironori Kasahara and Jidong Zhai and Hai Jin",
booktitle = "Network and Parallel Computing - 15th IFIP WG 10.3 International Conference, NPC 2018, Proceedings",
address = "德国",
}