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)
Incoming Non-self Citations Over Time
Authors
- 1. Sheng Wang (National University of Singapore)
- 2. David Maier (Portland State University)
- 3. Beng Chin Ooi (National University of Singapore)
BibTeX Citation
@article{wang_vldb14,
title = {{Lightweight Indexing of Observational Data in Log-Structured Storage}},
author = {Wang, Sheng and Maier, David and Ooi, Beng Chin},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {7},
pages = {529--540},
doi = {10.14778/2732286.2732290},
url = {https://doi.org/10.14778/2732286.2732290},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,459 | Efficient Data Ingestion and Query Processing for LSM-Based Storage Systems | 2019 | VLDB | 5.6119467e-05 |
| 8,349 | Tree-Encoded Bitmaps | 2020 | SIGMOD | 5.4460774e-05 |
| 9,034 | Fast and Adaptive Indexing of Multi-Dimensional Observational Data | 2016 | VLDB | 5.3274671e-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 |
|---|---|---|---|---|
| 275 | bLSM: A General Purpose Log Structured Merge Tree | 2012 | SIGMOD | 0.00022630189 |
| 512 | Tree Indexing on Solid State Drives | 2010 | VLDB | 0.00017196795 |
| 2,502 | Stream Warehousing with DataDepot | 2009 | SIGMOD | 8.4972586e-05 |
| 2,805 | LogBase: A Scalable Log-structured Database System in the Cloud | 2012 | VLDB | 8.1044134e-05 |
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