For a number of years, the Unidata Thredds group has been in the process of "implementing" server-side computation Real-Soon-Now (as the saying goes).
Events have overtaken the previous notion of server-side computing and here we try to codify a replacement that uses a separate server model based on Jupyter (an offshoot of IPython).
From the point of view of Unidata, Jupyter provides a powerful alternative to roll-your-own server-side computing. It supports multiple, "real" programming languages. It is a server itself, so it can be co-located with an existing Thredds server. And, most importantly, it is designed to execute small programs written in any of its supported languages.
We are proposing to implement server-side computing for Thredds by using one or more co-located Jupyter servers. This document elaborates on the capabilities and required support infrastructure to make this proposal operational.
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