Name
Abstract | ||
|---|---|---|
Spatial object association, also referred to as crossmatch of spatial datasets, is the problem of identifying and comparing objects in two or more datasets based on their positions in a common spatial coordinate system. In this work, we evaluate two crossmatch algorithms that are used for astronomical sky surveys, on the following database system architecture configurations: (1) Netezza Performance Server®, a parallel database system with active disk style processing capabilities, (2) MySQL Cluster, a high-throughput network database system, and (3) a hybrid configuration consisting of a collection of independent database system instances with data replication support. Our evaluation provides insights about how architectural characteristics of these systems affect the performance of the spatial crossmatch algorithms. We conducted our study using real use-case scenarios borrowed from a large-scale astronomy application known as the Large Synoptic Survey Telescope (LSST). |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IPDPS.2009.5161078 | IPDPS |
Keywords | Field | DocType |
distributed databases,computer science,sql,use case,indexing,data mining,database systems,database system,sensor fusion,data engineering,scientific computing,use case scenarios,process capability,coordinate system,informatics,clustering algorithms,astronomy,data replication,high throughput | SQL,Data mining,Replication (computing),Computer science,Parallel database,Algorithm,Information engineering,Distributed database,Cluster analysis,Large Synoptic Survey Telescope,Network model | Conference |
ISSN | Citations | PageRank |
1530-2075 | 4 | 0.46 |
References | Authors | |
4 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vijay S. Kumar | 1 | 48 | 5.09 |
| Tahsin M. Kurç | 2 | 1423 | 149.77 |
| Joel H. Saltz | 3 | 4046 | 569.91 |
| Ghaleb Abdulla | 4 | 519 | 150.23 |
| Scott R. Kohn | 5 | 474 | 81.22 |
| Celeste Matarazzo | 6 | 5 | 0.82 |