LEADER 02026oam 2200529I 450 001 9910707070203321 005 20180130131640.0 035 $a(CKB)5470000002460784 035 $a(OCoLC)944526639 035 $a(EXLCZ)995470000002460784 100 $a20160315j201510 ua 0 101 0 $aeng 135 $aurbn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAssessing the Amazon cloud suitability for CLARREO's computational needs / Daniel Goldin, Andrei A. Vakhnin, Jon C. Currey 210 1$aHampton, Virginia :$cNational Aeronautics and Space Administration, Langley Research Center,$dOctober 2015. 215 $a1 online resource (8 pages) 225 1 $aNASA/TM ;$v2015-218966 300 $aTitle from title screen (viewed March 15, 2016). 300 $a"October 2015." 300 $a"Performing organization: NASA Langley Research Center, Hampton, VA"--Report documentation page. 320 $aIncludes bibliographical references (page 8). 517 3 $aAssessing the Amazon cloud suitability for Climate Absolute Radiance and Refractivity Observatory's computational needs 606 $aWeb services$2nasat 606 $aCluster analysis$2nasat 606 $aData processing$2nasat 606 $aComputer systems performance$2nasat 606 $aGrid computing (computer networks)$2nasat 615 7$aWeb services. 615 7$aCluster analysis. 615 7$aData processing. 615 7$aComputer systems performance. 615 7$aGrid computing (computer networks) 700 $aGoldin$b Daniel$01364454 702 $aVakhnin$b Andrei A. 702 $aCurrey$b Jon C. 712 02$aLangley Research Center, 712 02$aUnited States.$bNational Aeronautics and Space Administration, 801 0$bGPO 801 1$bGPO 801 2$bERE 906 $aBOOK 912 $a9910707070203321 996 $aAssessing the Amazon cloud suitability for CLARREO's computational needs$93505291 997 $aUNINA