Write-Optimized Dynamic Hashing for Persistent Memory


Moohyeon Nam, UNIST (Ulsan National Institute of Science and Technology); Hokeun Cha, Sungkyunkwan University; Young-ri Choi and Sam H. Noh, UNIST (Ulsan National Institute of Science and Technology); Beomseok Nam, Sungkyunkwan University


Low latency storage media such as byte-addressable persistent memory (PM) requires rethinking of various data structures in terms of optimization. One of the main challenges in implementing hash-based indexing structures on PM is how to achieve efficiency by making effective use of cachelines while guaranteeing failure-atomicity for dynamic hash expansion and shrinkage. In this paper, we present Cacheline-Conscious Extendible Hashing (CCEH) that reduces the overhead of dynamic memory block management while guaranteeing constant hash table lookup time. CCEH guarantees failure-atomicity without making use of explicit logging. Our experiments show that CCEH effectively adapts its size as the demand increases under the fine-grained failure-atomicity constraint and reduces the maximum query latency by over two-thirds compared to the state-of-the-art hashing techniques.

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@inproceedings {227812,
author = {Moohyeon Nam and Hokeun Cha and Young-ri Choi and Sam H. Noh and Beomseok Nam},
title = {{Write-Optimized} Dynamic Hashing for Persistent Memory},
booktitle = {17th USENIX Conference on File and Storage Technologies (FAST 19)},
year = {2019},
isbn = {978-1-939133-09-0},
address = {Boston, MA},
pages = {31--44},
url = {https://www.usenix.org/conference/fast19/presentation/nam},
publisher = {USENIX Association},
month = feb

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