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Processing nasa earth science data on nebula cloud
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Pham, Long Kempler, Steven Chen, Aijun |
| Copyright Year | 2012 |
| Description | Three applications were successfully migrated to Nebula, including S4PM, AIRS L1/L2 algorithms, and Giovanni MAPSS. Nebula has some advantages compared with local machines (e.g. performance, cost, scalability, bundling, etc.). Nebula still faces some challenges (e.g. stability, object storage, networking, etc.). Migrating applications to Nebula is feasible but time consuming. Lessons learned from our Nebula experience will benefit future Cloud Computing efforts at GES DISC. |
| File Size | 1272373 |
| Page Count | 32 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20120012562 |
| Archival Resource Key | ark:/13960/t9q28x11m |
| Language | English |
| Publisher Date | 2012-02-21 |
| Access Restriction | Open |
| Subject Keyword | Lessons Learned Costs Algorithms Data Processing Earth Sciences Open Source Licensing Computers Complex Systems Operating Systems Computers Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Presentation |
