most citedWhen Database Systems Meet the Grid

47 citations · 101 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC20056 cited

Batch is back: CasJobs, serving multi-TB data on the Web

William OMullane, Nolan Li, Maria Nieto-Santisteban +3

The Sloan Digital Sky Survey (SDSS) science database describes over 140 million objects and is over 1.5 TB in size. The SDSS Catalog Archive Server (CAS) provides several levels of…

cs.DC200547 cited

When Database Systems Meet the Grid

Maria A. Nieto-Santisteban, Alexander S. Szalay, Aniruddha R. Thakar +3

We illustrate the benefits of combining database systems and Grid technologies for data-intensive applications. Using a cluster of SQL servers, we reimplemented an existing Grid ap…

cs.PF20051 cited

Sequential File Programming Patterns and Performance with .NET

Peter Kukol, Jim Gray

Programming patterns for sequential file access in the .NET Framework are described and the performance is measured. The default behavior provides excellent performance on a single…

cs.DB200547 cited

Where the Rubber Meets the Sky: Bridging the Gap between Databases and Science

Jim Gray, Alexander S. Szalay

Scientists in all domains face a data avalanche - both from better instruments and from improved simulations. We believe that computer science tools and computer scientists are in…

cs.DB2005

Performance Considerations for Gigabyte per Second Transcontinental Disk-to-Disk File Transfers

Peter Kukol, Jim Gray

Moving data from CERN to Pasadena at a gigabyte per second using the next generation Internet requires good networking and good disk IO. Ten Gbps Ethernet and OC192 links are in pl…

cs.DB2005

Scientific Data Management in the Coming Decade

Jim Gray, David T. Liu, Maria Nieto-Santisteban +3

This is a thought piece on data-intensive science requirements for databases and science centers. It argues that peta-scale datasets will be housed by science centers that provide…