Difference between revisions of "Air Quality Modeling on the Cloud"
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* Flexible cloud deployment from a command line interface to initiate computing clusters and spawn WRF jobs in the cloud | * Flexible cloud deployment from a command line interface to initiate computing clusters and spawn WRF jobs in the cloud | ||
| − | [[Ramboll Modeling on the Cloud Contract]] | + | [[Ramboll Modeling on the Cloud Contract Results]] |
[[Working with AWS Parallel Cluster]] | [[Working with AWS Parallel Cluster]] | ||
[[WRF on the Cloud]] | [[WRF on the Cloud]] | ||
Revision as of 17:19, 26 March 2021
Objectives
LADCO is seeking to understand the best practices for submitting and managing multiprocessor computing jobs on a cloud computing platform. In particular, LADCO would like to develop a WRF production environment that utilizes cloud-based computing. The goal of this project is to prototype a WRF production environment on a public, on-demand high performance computing service in the cloud to create a WRF platform-as-a-service (PaaS) solution. The WRF PaaS must meet the following objectives:
- Configurable computing and storage to scale, as needed, to meet that needs of different WRF applications
- Configurable WRF options to enable changing grids, simulation periods, physics options, and input data
- Flexible cloud deployment from a command line interface to initiate computing clusters and spawn WRF jobs in the cloud
Ramboll Modeling on the Cloud Contract Results
