A configurable experimental environment for large-scale edge to cloud research

Learn about University of Chicago PhD student Chengcheng Wan's research on designing a solution to integrate machine learning components into traditional software systems to maximize energy efficiency, latency, and accuracy constraints at machine learning, system and application levels, with related research published at USENIX ATC, ICML, and ICSE.

In this month's changelog, we announce a few really cool new features, one of which has been on our most-requested list for a long while: PI delegate! Besides that, there is a brand-new preview capability that allows you to share your Trovi experiments with non-Chameleon users so they can reproduce your work w/o an allocation. More details, as always, inside.

Join us on Friday, October 22 at 1.30p CT for Chameleon Live - an informal webinar where the Chameleon team will showcase the newest features of the testbed and answer questions from the community. Think of it as office hours to learn all about Chameleon updates and how to use them! Register and submit questions here: https://forms.gle/4itPs913vFTbnnGG9

New to Chameleon? Or are you a Chameleon veteran interested in exploring a new feature or tool you’ve seen on Chameleon, but not sure where to begin? Look no further - we’ve gathered the top Chameleon tutorials for you to use as inspiration! Ranging from full-length webinars to short overview videos, you can learn and explore new ways to experiment on Chameleon!

Chameleon Lead PI Kate Keahey will be giving a keynote at IEEE Cloud Summit! See the talk: Taking Science from Cloud to Edge during the conference Oct 21-22. Learn more here: https://bit.ly/3EUQ4jX

Tune in October 27 at 8a PST on the networking channel to hear Chameleon Lead PI Kate Keahey and DevOps lead Jason Anderson speak about how to use Chameleon to run experiments spanning edge devices and the cloud! Learn more: https://bit.ly/3zLoK3Z