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   Articles with "key value" as a keyword



FlameDB: A Key-Value Store With Grouped Level Structure and Heterogeneous Bloom Filter

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recommendations! Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2831259

Abstract: Key-value (KV) stores are widely used to provide much higher read and write throughput than traditional SQL databases. In particular, LSM-tree based KV store is popular with many applications since it could eliminate random writes… read more here.

Keywords: bloom filter; key value; level structure; bloom ... See more keywords

RangeKV: An Efficient Key-Value Store Based on Hybrid DRAM-NVM-SSD Storage Structure

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recommendations! Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3017651

Abstract: Persistent key-value (KV) stores are an integral part of storage infrastructure in data centers. Emerging non-volatile memory (NVM) technologies are potential alternatives for future memory architecture design. In this study, we use NVM to optimize… read more here.

Keywords: tex math; rangekv; inline formula; storage ... See more keywords

Eukv: Enabling Efficient Updates for Hybrid PM-DRAM Key-Value Store

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3261461

Abstract: Key-value store, a fundamental component in a variety of modern data-intensive applications, can benefit from the emerging persistent memory (PM) to achieve high performance. Recent research proposes hybrid PM-DRAM key-value stores, which persist key-value pairs… read more here.

Keywords: hybrid dram; value store; dram key; value ... See more keywords

KVSTL: An Application Support to LSM-Tree Based Key-Value Store via Shingled Translation Layer Data Management

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recommendations! Published in 2022 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2021.3098961

Abstract: LSM-tree based Key-value (KV) stores greatly fit the needs of write-intensive applications with its efficient data store and retrieval operations to datasets. To accommodate ever-growing datasets, shingled magnetic recording (SMR) drives have become a popular… read more here.

Keywords: tree based; smr drives; lsm tree; management ... See more keywords

Learned FBF: Learning-Based Functional Bloom Filter for Key–Value Storage

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recommendations! Published in 2022 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2021.3112079

Abstract: As a challenging attempt to replace a traditional data structure with a learned model, this paper proposes a learned functional Bloom filter (L-FBF) for a key–value storage. The learned model in the proposed L-FBF learns… read more here.

Keywords: value storage; functional bloom; bloom filter; key value ... See more keywords

NStore: A High-Performance NUMA-Aware Key-Value Store for Hybrid Memory

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recommendations! Published in 2025 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2024.3504269

Abstract: Emerging persistent memory (PM) promises near-DRAM performance, larger capacity, and data persistence, attracting researchers to design PM-based key-value stores. However, existing PM-based key-value stores lack awareness of the Non-Uniform Memory Access (NUMA) architecture on PM,… read more here.

Keywords: memory; performance; key value; math ... See more keywords

Scavenger+: Revisiting Space-Time Tradeoffs in Key-Value Separated LSM-Trees

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recommendations! Published in 2025 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2025.3587513

Abstract: Key-Value Stores (KVS) based on log-structured merge-trees (LSM-trees) are widely used in storage systems but face significant challenges, such as high write amplification caused by compaction. KV-separated LSM-trees address write amplification but introduce significant space… read more here.

Keywords: space amplification; lsm trees; space; key value ... See more keywords

EMT: Elegantly Measured Tanner for Key-Value Store on SSD

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recommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2021.3055489

Abstract: With the emergence of big data era, NoSQL key-value database is considered as a promising candidate for replacing relational database management system (RDBMS). As cost per GB of flash memory is getting closer to HDD,… read more here.

Keywords: ftl; value store; value; key value ... See more keywords

Tidal-Tree-Mem: Toward Read-Intensive Key-Value Stores With Tidal Structure Based on LSM-Tree

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recommendations! Published in 2023 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"

DOI: 10.1109/tcad.2022.3177575

Abstract: The log-structured merge-tree (LSM-tree)-based key-value store has been widely adopted by many large-scale data storage applications for its excellent write performance. However, such write performance gains mainly come from scarifying read performance due to the… read more here.

Keywords: tidal tree; tree mem; lsm tree; tree ... See more keywords

Freshness Authentication for Outsourced Multi-Version Key-Value Stores

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recommendations! Published in 2023 at "IEEE Transactions on Dependable and Secure Computing"

DOI: 10.1109/tdsc.2022.3172380

Abstract: Data outsourcing is a promising technical paradigm to facilitate cost-effective real-time data storage, processing, and dissemination. In data outsourcing, a data owner proactively pushes a stream of data records to a third-party cloud server for… read more here.

Keywords: version key; outsourced multi; value stores; key value ... See more keywords

MLPKV: A Local Differential Multi-Layer Private Key-Value Data Collection Scheme for Edge Computing Environments

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recommendations! Published in 2023 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2023.3256124

Abstract: The existing solutions related to local differential privacy (LDP) in multi-layer networks for edge computing scenarios present several limitations in both key-value data heavy hitter identification and related frequency and mean estimation tasks. First, existing… read more here.

Keywords: value data; multi layer; local differential; edge computing ... See more keywords