Argo also features RESTful versions of these components, which makes it possible to deploy workflows as Web services.
However, few projects have succeeded in describing complicated workflows in a simple, but powerful, language that generalizes to thousands of input files; fewer still are able to deploy workflows onto distributed resource management systems (DRMs) such as Platform Load Sharing Facility (LSF) or Sun Grid Engine that stitch together clusters of thousands of compute cores.
There has been a large body of work on using cost models to predict execution times in order to select between options for deploying workflows over grids and clouds[15, 16].
It was designed to help scientists and other non-expert computer users to create, execute, and share models and analyses, thereby including a set of features for reducing the inherent complexity of deploying workflows in various computing environments (e.g., in the Grid).
This "integration Platform as a Service" (iPaaS) company offered a platform to allow businesses to build and deploy business workflow apps in the cloud using simple drag and drop functionality.
The Calculating valid deployment options section then defines a method for enumerating all valid options for deploying a workflow over a set of clouds so as to meet security requirements.
Features like the ability to quickly deploy new workflows, the founders explain, are attractive to teams that manage their business' external relationships, whether in business development, sales or product, allowing them to get started immediately.
The CARMEN portal also deploys a workflow tool within the browser, to allow users to tie services together into a processing pipeline.
To keep up with project teams' demand, a flexible development environment that allows the quick assembly of cheminformatics and structure-based design modules has become indispensable for prototyping, developing, and deploying computational workflows.
> In the remainder of this article, we present a discussion of how Web services are customized and deployed from workflows created using Argo, followed by an overview of the various supported file formats.
Therefore, one solution is to deploy the whole workflow on a secure private cloud.
