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SlimDB
2017
Proceedings of the VLDB Endowment
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It has been increasingly used as a storage backbone for many services, including file system metadata management, graph processing engines, and machine learning feature storage engines. ...
Our experiments show that by applying these design techniques, our new implementation of a key-value store, SlimDB, can be two to three times faster, use less memory to cache metadata indices, and show ...
In this paper, we propose a space-efficient sorted store, SlimDB, that can be used as the core storage engine for applications with semi-sorted keys. ...
doi:10.14778/3151106.3151108
fatcat:ossng6kv3jebvkxfqsuilmof2i
LSM-based Storage Techniques: A Survey
[article]
2019
arXiv
pre-print
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Recently, the Log-Structured Merge-tree (LSM-tree) has been widely adopted for use in the storage layer of modern NoSQL systems. ...
In this paper, we provide a survey of recent research efforts on LSM-trees so that readers can learn the state-of-the-art in LSM-based storage techniques. ...
Acknowledgements We would like to thank Mark Callaghan, Manos Athanassoulis, and the anonymous reviewers for their valuable comments and feedback. ...
arXiv:1812.07527v2
fatcat:cr6ancmllfdwrkxbowqtxy27gm
VIP-Tree
2016
Proceedings of the VLDB Endowment
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Dai Qin, Ashvin Goel, Angela Brown 2025 SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data ................................ ........................................................ ...
Liu, Yuankun Zhong 289 BlueCache: A Scalable Distributed Flash-based Key-value Store ................................................. .................................... ...
doi:10.14778/3025111.3025115
fatcat:2vi4x3dmlvfohndw5iw2xoibnq
Key-Value Stores on Flash Storage Devices: A Survey
[article]
2022
arXiv
pre-print
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Key-value stores (KV) have become one of the main components of the modern storage and data processing system stack. ...
This literature survey aims to highlight the changes proposed in the last decade to optimise key-value stores for flash devices and predict what role these devices might play for key-value stores in the ...
Composite keys are also a type of semi-sorted data; data where sorting does matter, but frequently only on a part of the data. ...
arXiv:2205.07975v1
fatcat:5sv2j2m3l5hrlnpjohlcxsh574
Distributed Metadata and Streaming Data Indexing as Scalable Filesystem Services
2021
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efficiently. ...
To prevent analysis queries from experiencing excessive I/O delays, the simulation's output must be carefully reorganized for efficient retrieval. ...
"SlimDB: A Space-efficient Key-value Storage Engine for Semi-sorted Data." In: Proc. VLDB Endow. . (Sept. [ ] Rasmus Pagh and Flemming Friche Rodler. "Cuckoo Hashing." In: J. ...
doi:10.1184/r1/14546973.v1
fatcat:3vk3ds4fqrdnni2onwhqbvdtv4
Latency Tradeoffs in Distributed Storage Access
[article]
2020
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The traditional relational model is not well suited for efficiently storing and retrieving unstructured and semi-structured data. ...
An alternate mechanism, popularly known as Key-Value Store (KVS) has been investigated over the last decade to handle such data. ...
In my thesis, I have tried to address some of these issues by exploring three key aspects: (a) a novel data storage system for efficiently storing and accessing large volumes of unstructured data being ...
doi:10.34944/dspace/2201
fatcat:epm7bymjkrg63m73ng4e24krv4