DiStore: A Fully Memory Disaggregation Friendly Key-Value Store with Improved Tail Latency and Space Efficiency-Reference-Cited by-同舟云学术

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DiStore: A Fully Memory Disaggregation Friendly Key-Value Store with Improved Tail Latency and Space Efficiency

Published:2024-08-12 Issue: Volume: Page:607-617
ISSN:
Container-title:Proceedings of the 53rd International Conference on Parallel Processing
language:
Short-container-title:

Author:

Xiong Ziwei¹^ORCID,Jiang Dejun¹^ORCID,Xiong Jin¹^ORCID

Affiliation:

1. SKLP, Institute of Computing Technology, CAS, China

Funder

Major Research Plan of the National Natural Science Foundation of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673038.3673088

Reference45 articles.

1. A. Adya, R. Grandl, D. Myers, and H. Qin. 2019. Fast Key-Value Stores: An Idea Whose Time Has Come and Gone. In Proceedings of HotOS.

2. Workload analysis of a large-scale key-value store

3. I. Calciu, M. T. Imran, I. Puddu, S. Kashyap, H. A. Maruf, O. Mutlu, and A. Kolli. 2021. Rethinking Software Runtimes for Disaggregated Memory. In Proceedings of the ASPLOS.

4. Z. Cao S. Dong S. Vemuri and D. H.C. Du. 2020. Characterizing Modeling and Benchmarking RocksDB Key-Value Workloads at Facebook. In USENIX FAST.

5. Y. Chen, Y. Lu, K. Fang, Q. Wang, and J. Shu. 2020. UTree: A Persistent B+-Tree with Low Tail Latency. Proc. VLDB Endow. 13, 12 (2020).

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