Abstract
This paper proposes NV-Cleaning, an efficient segment cleaning scheme for a log-structured filesystem with hybrid memory architecture. During segment cleaning, NV-Cleaning copies valid data to NVRAM rather than to the underlying slow storage. By doing so, NV-Cleaning quickly finishes segment cleaning and resume I/O of user processes faster than the conventional scheme. Our experimental results show that NV-Cleaning outperforms the conventional scheme in terms of both throughput and latency.
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Acknowledgements
This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the SW Starlab support program (IITP-2015-0-00284) supervised by the IITP (Institute for Information & communications Technology Promotion) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT (NRF-2017R1A2B3004660).
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Park, J., Eom, Y.I. (2019). NV-Cleaning: An Efficient Segment Cleaning Scheme for a Log-Structured Filesystem with Hybrid Memory Architecture. In: Lee, S., Ismail, R., Choo, H. (eds) Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019. IMCOM 2019. Advances in Intelligent Systems and Computing, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-030-19063-7_48
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DOI: https://doi.org/10.1007/978-3-030-19063-7_48
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