Bringing the Unidata IDV to the Cloud

Abstract:

Maintaining software compatibility across new computing environments and the associated underlying hardware is a common problem for software engineers and scientific programmers. While traditional software engineering provides a suite of tools and methodologies which may mitigate this issue, they are typically ignored by developers lacking a background in software engineering. Causing further problems, these methodologies are best applied at the start of project; trying to apply them to an existing, mature project can require an immense effort. Visualization software is particularly vulnerable to this problem, given the inherent dependency on particular graphics hardware and software API's. As a result of these issues, there exists a large body of software which is simultaneously critical to the scientists who are dependent upon it, and yet increasingly difficult to maintain.

The solution to this problem was partially provided with the advent of Cloud Computing; Application Streaming. This technology allows a program to run entirely on a remote virtual machine while still allowing for interactivity and dynamic visualizations, with little-to-no re-engineering required. When coupled with containerization technology such as Docker, we are able to easily bring the same visualization software to a desktop, a netbook, a smartphone, and the next generation of hardware, whatever it may be.

Unidata has been able to harness Application Streaming to provide a tablet-compatible version of our visualization software, the Integrated Data Viewer (IDV). This work will examine the challenges associated with adapting the IDV to an application streaming platform, and include a brief discussion of the underlying technologies involved.