Lazy-Adaptive Tree: An Optimized Index Structure for Flash Devices
Summary: LA-Tree is a lazy, cascaded-buffer index for flash devices that amortizes node reads/writes. An online adaptive algorithm tunes buffer sizes and flash-aware memory management with reclamation; under the NAND cost model it is optimal, delivering 2x–12x NAND gains and 3x–6x on SSDs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Devesh Agrawal
- 2. Deepak Ganesan
- 3. Ramesh Sitaraman
- 4. Yanlei Diao
- 5. Shashi Singh
Incoming Citations (Sorted by Pagerank)
Showing 20 of 20 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 242 | Generalized Search Trees for Database Systems (Extended Abstract) | 1995 | VLDB | 0.00031110894 |
| 345 | Design of Flash-Based DBMS: An In-Page Logging Approach | 2007 | SIGMOD | 0.00026677681 |
| 493 | A Case for Flash Memory SSD in Enterprise Database Applications | 2008 | SIGMOD | 0.00021837534 |
| 1,060 | Flashing Up the Storage Layer | 2008 | VLDB | 0.00014370687 |
| 1,195 | Buffering Accesses to Memory-Resident Index Structures | 2003 | VLDB | 0.00013406526 |
| 4,500 | Rethinking Data Management for Storage-centric Sensor Networks | 2007 | CIDR | 6.1381791e-05 |
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