%0 Conference Paper %1 Nieto-Santisteban:msrescience:2008 %A Nieto-Santisteban, Maria %A Simmhan, Yogesh %A Barga, Roger %A Dobos, Laszlo %A Heasley, Jim %A Holmberg, Conrad %A Li, Nolan %A Shipway, Michael %A Szalay, Alexander S. %A van Ingen, Catharine %A Werner, Sue %B Microsoft Research eScience Workshop %D 2008 %I Microsoft %K data escience, hpc, management, msr, panstarrs, talk trident, workflow, %T Pan-STARRS: Learning to Ride the Data Tsunami %X The Panoramic Survey Telescope and Rapid Response System (Pan-STARRS) is the next generation of digital sky surveys that builds on the success of the Sloan Digital Sky Survey (SDSS) . The Pan-STARRS consortium is centered at the University of Hawai`i, Institute for Astronomy, and includes nine other institutions worldwide. The next generation system leverages SQL Server 2008, Windows Workflow Foundation and the Trident Scientific Workbench. This updated technology is needed to address the much larger data generated by Pan-STARRS and the need to make that data available to astronomers promptly. SDSS released survey data of about 4TB in size every 6 months; PS will have about 30TB of data per year, incrementally updated every week. The currently deployed PS1 telescope is one of the four Pan-STARRS telescopes. PS1 tests the system end to end, including the optics, cameras, image processing algorithms, data loading workflows, user facing databases, and science analysis. The PS1 survey over the next 3.5 years

@inproceedings{Nieto-Santisteban:msrescience:2008, abstract = {The Panoramic Survey Telescope and Rapid Response System (Pan-STARRS) is the next generation of digital sky surveys that builds on the success of the Sloan Digital Sky Survey (SDSS) . The Pan-STARRS consortium is centered at the University of Hawai`i, Institute for Astronomy, and includes nine other institutions worldwide. The next generation system leverages SQL Server 2008, Windows Workflow Foundation and the Trident Scientific Workbench. This updated technology is needed to address the much larger data generated by Pan-STARRS and the need to make that data available to astronomers promptly. SDSS released survey data of about 4TB in size every 6 months; PS will have about 30TB of data per year, incrementally updated every week. The currently deployed PS1 telescope is one of the four Pan-STARRS telescopes. PS1 tests the system end to end, including the optics, cameras, image processing algorithms, data loading workflows, user facing databases, and science analysis. The PS1 survey over the next 3.5 years}, added-at = {2014-08-13T04:08:36.000+0200}, author = {Nieto-Santisteban, Maria and Simmhan, Yogesh and Barga, Roger and Dobos, Laszlo and Heasley, Jim and Holmberg, Conrad and Li, Nolan and Shipway, Michael and Szalay, Alexander S. and van Ingen, Catharine and Werner, Sue}, biburl = {https://www.bibsonomy.org/bibtex/27ab1c4cf0ce157a77634a0ea047a9b25/simmhan}, booktitle = {Microsoft Research eScience Workshop}, interhash = {72b197a94b098ece326b262fbb194f1a}, intrahash = {7ab1c4cf0ce157a77634a0ea047a9b25}, keywords = {data escience, hpc, management, msr, panstarrs, talk trident, workflow,}, month = {December}, note = {Talk}, owner = {Simmhan}, publisher = {Microsoft}, timestamp = {2014-08-13T04:08:36.000+0200}, title = {Pan-STARRS: Learning to Ride the Data Tsunami}, year = 2008 }