contributor author | Robinson, Niall H.;Prudden, Rachel;Arribas, Alberto | |
date accessioned | 2018-01-03T11:01:43Z | |
date available | 2018-01-03T11:01:43Z | |
date copyright | 8/17/2017 12:00:00 AM | |
date issued | 2017 | |
identifier other | bams-d-16-0120.1.pdf | |
identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4246246 | |
description abstract | AbstractEnvironmental datasets are becoming so large that they are increasingly being hosted in the compute cloud, where they can be efficiently analyzed and disseminated. However, this necessitates new ways of efficiently delivering environmental information across the Internet to users. We visualised a big atmospheric dataset in a web page by repurposing techniques normally used to stream HD video. You can try the prototype at http://demo.3dvis.informaticslab.co.uk/ng-3d-vis/apps/desktop/ or watch a video demonstration at www.youtube.com/watch?v=pzvk1ZNMvFY. | |
publisher | American Meteorological Society | |
title | A New Approach to Streaming Data from the Cloud | |
type | Journal Paper | |
journal volume | 98 | |
journal issue | 11 | |
journal title | Bulletin of the American Meteorological Society | |
identifier doi | 10.1175/BAMS-D-16-0120.1 | |
journal fristpage | 2280 | |
journal lastpage | 2283 | |
tree | Bulletin of the American Meteorological Society:;2017:;volume( 098 ):;issue: 011 | |
contenttype | Fulltext | |