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Lightweight Indexing of Observational Data in Log-Structured Storage

Summary: Proposes a CR-index (Continuous Range Index) for observational data in log-structured storage, tailored to write-heavy scientific streams. It is lightweight, RAM-resident, and enables fast range queries with minimal write overhead, outperforming standard indexes on observational datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10931
Venue
VLDB
Year
2014
Pagerank
4.5458861e-05
Overall Rank
8,266 | 42.50%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
7,743 Efficient Data Ingestion and Query Processing for LSM-Based Storage Systems 2019 VLDB 4.6626575e-05
8,430 Tree-Encoded Bitmaps 2020 SIGMOD 4.5154973e-05
8,895 Fast and Adaptive Indexing of Multi-Dimensional Observational Data 2016 VLDB 4.427268e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
379 bLSM: A General Purpose Log Structured Merge Tree 2012 SIGMOD 0.0002493527
563 Tree Indexing on Solid State Drives 2010 VLDB 0.00020031827
2,059 Stream Warehousing with DataDepot 2009 SIGMOD 9.6582554e-05
2,689 LogBase: A Scalable Log-structured Database System in the Cloud 2012 VLDB 8.2942515e-05
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