When Database Systems Meet the Grid
Summary: Reimplemented a Grid astronomy pipeline (galaxy-cluster finding) on a cluster of SQL servers, achieving an order-of-magnitude (~10×) speedup over the original Tcl+C-file Grid implementation. Analyzes how embedding DBMS capabilities into Grid services yields performance, scalability, and data-locality gains for data-intensive workflows. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. María A. Nieto-Santisteban (Johns Hopkins University)
- 2. Jim Gray (Microsoft)
- 3. Alexander S. Szalay (Johns Hopkins University)
- 4. James Annis (Fermi National Accelerator Laboratory)
- 5. Aniruddha R. Thakar (Johns Hopkins University)
- 6. William J. O'Mullane (Johns Hopkins University)
BibTeX Citation
@inproceedings{nietosantisteban_cidr05,
address = {Amsterdam, Netherlands},
series = {{CIDR} '05},
title = {{When Database Systems Meet the Grid}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Nieto-Santisteban, María A. and Gray, Jim and Szalay, Alexander S. and Annis, James and Thakar, Aniruddha R. and O'Mullane, William J.},
year = {2005}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,176 | Predicting Cost Amortization for Query Services | 2011 | SIGMOD | 6.3326746e-05 |
| 12,477 | Searching Workflows with Hierarchical Views | 2010 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
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