Abstract
Hadoop is a popular distributed framework for massive data processing. HDFS is the underlying file system of Hadoop. More and more companies use Hadoop as data processing platform. Once Hadoop crashes, the data stored in HDFS can not be accessed directly. We present HDUMP, a light-weight bypassing file system, which aims to recover the data stored in HDFS when Hadoop crashes.
Cite
CITATION STYLE
Li, Z., Li, Q., Wang, W., Wang, Q., Qi, F., Liu, Y., & Wang, P. (2018). HDUMP: A data recovery tool for hadoop. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10828 LNCS, pp. 821–824). Springer Verlag. https://doi.org/10.1007/978-3-319-91458-9_56
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