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- W2601135086 abstract "In this paper, we propose a new HDFS-AIO framework to enhance HDFS with Adaptive I/O System (ADIOS), which supports many different I/O methods and enables applications to select optimal I/O routines for a particular platform without source-code modification and re-compilation. First, we customize ADIOS into a chunk-based storage system so its API semantics can fit the requirement of HDFS easily; then, we utilize Java Native Interface (JNI) to bridge HDFS and the tailored ADIOS. We use different I/O patterns to compare HDFS-AIO and the original HDFS, and the experimental results show the design feasibility and benefits. We also examine the performance of HDFS-AIO using various I/O techniques. There have been many studies that use ADIOS, however our research is expected to help in expanding the function of HDFS." @default.
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- W2601135086 date "2016-12-30" @default.
- W2601135086 modified "2023-09-26" @default.
- W2601135086 title "Adaptable I/O System based I/O Reduction for Improving the Performance of HDFS" @default.
- W2601135086 doi "https://doi.org/10.5573/jsts.2016.16.6.880" @default.
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