IHEP OpenIR
A New Data Access Mechanism for HDFS
Li Q(李强); Sun ZY(孙震宇); Wei ZC(魏占辰); Sun GX(孙功星); Li, Qiang; Sun, Zhenyu; Wei, Zhanchen; Sun, Gongxing
2017
发表期刊Journal of Physics: Conference Series
ISSN1742-6588
EISSN1742-6596
卷号898期号:6页码:062018
文章类型Proceedings Paper
摘要With the era of big data emerging, Hadoop has become the de facto standard of big data processing platform. However, it is still difficult to get legacy applications, such as High Energy Physics (HEP) applications, to run efficiently on Hadoop platform. There are two reasons which lead to the difficulties mentioned above: firstly, random access is not supported on Hadoop File System (HDFS), secondly, it is difficult to make legacy applications adopt to HDFS streaming data processing mode. In order to address the two issues, a new read and write mechanism of HDFS is proposed. With this mechanism, data access is done on the local file system instead of through HDFS streaming interfaces. To enable files modified by users, three attributes including permissions, owner and group are imposed on Block objects. Blocks stored on Datanodes have the same attributes as the file they are owned by. Users can modify blocks when the Map task running locally, and HDFS is responsible to update the rest replicas later after the block modification finished. To further improve the performance of Hadoop system, a complete localization task execution mechanism is implemented for I/O intensive jobs. Test results show that average CPU utilization is improved by 10% with the new task selection strategy, data read and write performances are improved by about 10% and 30% separately. © Published under licence by IOP Publishing Ltd.
会议名称22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016
会议地点San Francisco, CA, United states
会议日期October 10, 2016 - October 14, 2016
DOI10.1088/1742-6596/898/6/062018
收录类别EI ; SCOPUS ; ADS
语种英语
EI入藏号20175104567109
EI主题词Data handling - File organization - High energy physics
EI分类号723.2 Data Processing and Image Processing - 903.3 Information Retrieval and Use - 932.1 High Energy Physics
ADS Bibcode2017JPhCS.898f2018L
ADS URLhttps://ui.adsabs.harvard.edu/abs/2017JPhCS.898f2018L
ADS引文https://ui.adsabs.harvard.edu/abs/2017JPhCS.898f2018L/citations
INSPIRE ID1638538
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被引频次:0 [INSPIRE]
被引频次:0 [ADS]
文献类型期刊论文
条目标识符https://ir.ihep.ac.cn/handle/311005/284221
专题中国科学院高能物理研究所
作者单位1.Institute of High Energy Physics, Beijing, China;
2.University of Chinese, Academy of Sciences, Beijing, China
推荐引用方式
GB/T 7714
Li Q,Sun ZY,Wei ZC,et al. A New Data Access Mechanism for HDFS[J]. Journal of Physics: Conference Series,2017,898(6):062018.
APA 李强.,孙震宇.,魏占辰.,孙功星.,Li, Qiang.,...&Sun, Gongxing.(2017).A New Data Access Mechanism for HDFS.Journal of Physics: Conference Series,898(6),062018.
MLA 李强,et al."A New Data Access Mechanism for HDFS".Journal of Physics: Conference Series 898.6(2017):062018.
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