The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
SILT: a memory-efficient, high-performance key-value store
Abstract
SILT (Small Index Large Table) is a memory-efficient, high-performance key-value store system based on flash storage that scales to serve billions of key-value items on a single node. It requires only 0.7 bytes of DRAM per entry and retrieves key/value pairs using on average 1.01 flash reads each. SILT combines new algorithmic and systems techniques to balance the use of memory, storage, and computation. Our contributions include: (1) the design of three basic key-value stores each with a different emphasis on memory-efficiency and write-friendliness; (2) synthesis of the basic key-value stores to build a SILT key-value store system; and (3) an analytical model for tuning system parameters carefully to meet the needs of different workloads. SILT requires one to two orders of magnitude less memory to provide comparable throughput to current high-performance key-value systems on a commodity desktop system with flash storage.
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Cites
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Bigtable: A Distributed Storage System for Structured Data
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Bigtable: a distributed storage system for structured data
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Cited by
Cuckoo Filter: Practically Better Than Bloom
Fan, B., Andersen, D. G., Kaminsky, M., & Mitzenmacher, M. D. (2014) · Proceedings of the 10th ACM International on Conference on emerging Networking Experiments and Technologies · doi:10.1145/2674005.2674994 · Cited by 737
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Metadata
- Authors
- Lim, H., Fan, B., Andersen, D. G., & Kaminsky, M.
- Venue
- Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles
- Publisher
- ACM
- Published
- 2011-10-23
- Pages
- 1-13
- OpenAlex
- W2077850713
- Cited by
- 294
- References
- 17
- FWCI
- 17.14
- Type
- conference paper
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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