Weather Processing Workflow between Private/Public Cloud Environments

OpenStack and software container technology like Docker have made the ability to run private, in-house cloud environments possible, enabling industries to consolidate data centers by leveraging infrastructure as a service. Private clouds allow multiple missions to be served by a single infrastructure over virtualized environments. Private clouds also allow greater control of the infrastructure in terms of access and security. Public clouds offer similar benefits with the advantages of flexible growth in processing and reduction in processing costs, though at the expense of complete control of the infrastructure. Given these different characteristics for private and public cloud environments, different parts of the weather processing workflow can be better suited to each cloud environment. Our research evaluates which parts of the workflow are best suited for which cloud environment and explores tools to manage and visualize workflow between cloud environments. This enables optimal environment for efficient and cost-effective weather processing while having the flexibility to grow on demand.