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Workload-Aware Storage Layout for Database Systems

Summary: Workload-aware storage layout uses an I/O activity description to optimize placement of database objects, balancing load and avoiding interference. Formulated as a non-linear programming problem solved by an NLP solver, it is integrated into a layout advisor that quickly identifies non-trivial optimized layouts. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4306
Venue
SIGMOD
Year
2010
Pagerank
5.4919488e-05
Overall Rank
5,465 | 61.99%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank Citing Paper Year Venue Pagerank
5,331 Hybrid Storage Management for Database Systems 2013 VLDB 5.5665225e-05
5,848 MaSM: Efficient Online Updates in Data Warehouses 2011 SIGMOD 5.3021155e-05
6,574 Robust Performance of Main Memory Data Structures by Configuration 2020 SIGMOD 5.0055505e-05
6,920 Towards Cost-Effective Storage Provisioning for DBMSs 2012 VLDB 4.8925595e-05
7,715 Query Centric Partitioning and Allocation for Partially Replicated Database Systems 2017 SIGMOD 4.6699261e-05
8,366 WWHow! Freeing Data Storage from Cages 2013 CIDR 4.5357016e-05
10,255 How to Write to SSDs 2026 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
493 A Case for Flash Memory SSD in Enterprise Database Applications 2008 SIGMOD 0.00021837534
3,370 Storage Workload Estimation for Database Management Systems 2007 SIGMOD 7.1704153e-05
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