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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)

Paper ID
35
Venue
CIDR
Year
2005
Pagerank
5.6417986e-05
Overall Rank
7,336 | 49.67%
DOI
-

Incoming Non-self Citations Over Time

Authors

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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