Wormhole Filters: Caching Your Hash on Persistent Memory-Reference-Cited by-同舟云学术

Wormhole Filters: Caching Your Hash on Persistent Memory

Published:2024-04-22 Issue: Volume: Page:456-471
ISSN:
Container-title:Proceedings of the Nineteenth European Conference on Computer Systems
language:
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Author:

Wang Hancheng¹^ORCID,Dai Haipeng¹^ORCID,Gu Rong¹^ORCID,Lu Youyou²^ORCID,Zheng Jiaqi¹^ORCID,Dai Jingsong¹^ORCID,Chen Shusen¹^ORCID,Chen Zhiyuan³^ORCID,Li Shuaituan³^ORCID,Chen Guihai¹^ORCID

Affiliation:

1. State Key Laboratory for Novel, Software Technology, Nanjing University

2. Tsinghua University

3. Huawei Technologies Co., Ltd.

Funder

Huawei Technologies Co., Ltd.

Jiangsu High-level Innovation and Entrepreneurship (Shuangchuang) Program

Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627703.3629590

Reference70 articles.

1. 2017. Partitioned Index/Filters. https://rocksdb.org/blog/2017/05/12/partitioned-index-filter.html

2. 2019. The CAIDA UCSD Anonymized Internet Traces - 20191123. https://www.caida.org/data/passive/passive_dataset.xml

3. 2021. Facebook/RocksDB: A Library That Provides an Embeddable Persistent Key-Value Store for Fast Storage. https://github.com/facebook/rocksdb

4. 2021. Shalla's Blacklists. http://www.shallalist.de

5. 2023. LevelDB. https://github.com/google/leveldb

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