High-Throughput Geocomputational Workflows in a Grid Environment.
A grid-computing platform facilitates geocomputational workflow composition to process big geosciences data while fully using idle resources to accelerate processing speed. An experiment with aerosol optical depth retrieval from satellite data shows a 25 percent improvement in runtime over a single...
| Publicado en: | Computer (00189162) Vol. 48; no. 11; pp. 70 - 81 |
|---|---|
| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
IEEE
Nov2015
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=111647088&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 111647088 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00189162 PUT jtl: Computer (00189162) issn: 00189162 maglogo: N pubinfo: dt: Nov2015 vid: 48 iid: 11 pid: 13605 pub: IEEE artinfo: ui: 111647088 10.1109/MC.2015.331 ppf: 70 ppct: 11 formats: tig: atl: High-Throughput Geocomputational Workflows in a Grid Environment. aug: au: Liu, Jia Xue, Yong Palmer-Brown, Dominic Chen, Ziqiang He, Xingwei affil: Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences London Metropolitan University su: Workflow Grid computing Earth sciences Big data Aerosols sug: subj: Workflow Grid computing Earth sciences Big data Aerosols keyword: Aerosol optical depth Computational modeling Data models geocomputational workflow Geospatial analysis geospatial problems Processor scheduling quantitative retrieval Remote sensing ab: A grid-computing platform facilitates geocomputational workflow composition to process big geosciences data while fully using idle resources to accelerate processing speed. An experiment with aerosol optical depth retrieval from satellite data shows a 25 percent improvement in runtime over a single high-performance computer. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2015 holdings: @attributes: islocal: N |
|---|