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20202026
most citedConstructing and Analyzing the LSM Compaction Design Space (Updated Version)

54 citations · 59 across the 10 of their papers we have counts for

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Showing cs.DBShow all

8 papers · 1 filter

cs.DB2024

CUBIT: Concurrent Updatable Bitmap Indexing (Extended Version)

Junchang Wang, Manos Athanassoulis

Bitmap indexes are widely used for read-intensive analytical workloads because they are clustered and offer efficient reads with a small memory footprint. However, they are notorio…

cs.DB2023

Towards Flexibility and Robustness of LSM Trees

Andy Huynh, Harshal A. Chaudhari, Evimaria Terzi +1

Log-Structured Merge trees (LSM trees) are increasingly used as part of the storage engine behind several data systems, and are frequently deployed in the cloud. As the number of a…

cs.DB2023

NOCAP: Near-Optimal Correlation-Aware Partitioning Joins

Zichen Zhu, Xiao Hu, Manos Athanassoulis

Storage-based joins are still commonly used today because the memory budget does not always scale with the data size. One of the many join algorithms developed that has been widely…

cs.DB2022★ 54 cited

Constructing and Analyzing the LSM Compaction Design Space (Updated Version)

Subhadeep Sarkar, Dimitris Staratzis, Zichen Zhu +1

Log-structured merge (LSM) trees offer efficient ingestion by appending incoming data, and thus, are widely used as the storage layer of production NoSQL data stores. To enable com…

cs.DB2022★ 1 cited

OSM-tree: A Sortedness-Aware Index

Aneesh Raman, Subhadeep Sarkar, Matthaios Olma +1

Indexes facilitate efficient querying when the selection predicate is on an indexed key. As a result, when loading data, if we anticipate future selective (point or range) queries,…

cs.DB2021★ 1 cited

Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty

Andy Huynh, Harshal A. Chaudhari, Evimaria Terzi +1

Log-Structured Merge trees (LSM trees) are increasingly used as the storage engines behind several data systems, frequently deployed in the cloud. Similar to other database archite…

cs.DB2021★ 3 cited

Relational Memory: Native In-Memory Accesses on Rows and Columns

Shahin Roozkhosh, Denis Hoornaert, Ju Hyoung Mun +5

Analytical database systems are typically designed to use a column-first data layout to access only the desired fields. On the other hand, storing data row-first works great for ac…

cs.DB2020

Lethe: A Tunable Delete-Aware LSM Engine (Updated Version)

Subhadeep Sarkar, Tarikul Islam Papon, Dimitris Staratzis +1

Data-intensive applications fueled the evolution of log structured merge (LSM) based key-value engines that employ the out-of-place paradigm to support high ingestion rates with lo…