
The volume of digital astronomical data is set to expand dramatically over the next ten years, as new satellites, telescopes and instruments come online. For example, both the VISTA and DES programmes will yield databases 20-30 terabytes in size in the coming decade. Storing and accessing such large datasets will be challenging, especially as scientific analysis will require coordinated use of several of these separate multi-terabyte databases, since they will contain complementary data, typically from observations made in different regions of the spectrum. We used these data to construct a grid-based SDSS distributed model using open grid services architecture - data access and integration (OGSA-DAI) and open grid services architecture - distributed query processing (OGSA-DQP). Finally we designed and ran a set of distributed queries against the grid-based distributed SDSS model.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
