| タイトル | Assessing the Amazon Cloud Suitability for CLARREO's Computational Needs |
| 本文（外部サイト） | http://hdl.handle.net/2060/20160000763 |
| 著者（英） | Goldin, Daniel; Currey, Jon C.; Vakhnin, Andrei A. |
| 著者所属（英） | NASA Langley Research Center |
| 発行日 | 2015-10-01 |
| 言語 | eng |
| 内容記述 | In this document we compare the performance of the Amazon Web Services (AWS), also known as Amazon Cloud, with the CLARREO (Climate Absolute Radiance and Refractivity Observatory) cluster and assess its suitability for computational needs of the CLARREO mission. A benchmark executable to process one month and one year of PARASOL (Polarization and Anistropy of Reflectances for Atmospheric Sciences coupled with Observations from a Lidar) data was used. With the optimal AWS configuration, adequate data-processing times, comparable to the CLARREO cluster, were found. The assessment of alternatives to the CLARREO cluster continues and several options, such as a NASA-based cluster, are being considered. |
| NASA分類 | Earth Resources and Remote Sensing; Meteorology and Climatology; Computer Systems |
| レポートNO | NF1676L-22629
NASA/TM-2015-218966
L-20617 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
