This month, we ran a hackathon at IC2E, new devices at CHI@Edge, improved CHI@Edge networking, and fixed issues with network leases, project management, cc-snapshot, and Doni.
 

This month on Chameleon, we are excited to announce the Fount project, 52 new Ice Lake nodes at CHI@TACC, multi-node launch improvements, and improvements for CHI-in-a-Box site operators.
 

Chameleon’s JupyterHub is a great way to organize your experiments for practical reproducibility. To overcome its resource limitations, we describe how to extend the Jupyter Server Trovi artifact so that you can run your full experiment inside a Jupyter notebook.
 

We are delighted to offer a limited number of registration reimbursement grants for the upcoming Practical Reproducibility Tutorial/Hackathon at the IC2E Conference, which takes place in Boston, MA on September 25, 2023. Read on for details of this offer and how to apply.
 

This month, we're featuring an interview with Professor Prasad Calyam, a distinguished educator and researcher at the University of Missouri-Columbia. In the interview, he shares insights on effectively utilizing innovative tools like testbeds for teaching, offering valuable recommendations based on his own experiences.

Calling all Chameleon users interested in reproducibiliity! As you have seen in our last month's changelog we are trying to make reproducible experiments on Chameleon more visible -- and now we are also organizing a hackathon that will help you package your results to be easy to reproduce on Chameleon via Trovi. Please, take a look and see if you can join us in Boston for a day of good ideas, good discussion, and good fun making experiments (including your experiments) more accessible! 

Happy Birthday to Chameleon – and many happy returns of the day! It is hard to believe it has been 8 years working with our amazing user community, hearing about your research, reading your papers, and generally watching amazing science being done every day. In this month’s blog we have a cake, candles, silly hats, balloons – and a tiny little gift. Welcome to the REPETO project that will help us foster practical reproducibility and interactive science – read the changelog to find out more.

Join us on Tuesday, August 1st at 10 AM CT for a webinar that showcases how to teach machine learning using inexpensive and easy to find self-driving cars. We will present an educational module that allows students to configure an inexpensive off-the-shelf self-driving vehicle, generate training sets by driving the vehicle, and train models based on those driving sets, evaluate the quality of the training by observing the car in practice, and ultimately refine the training and watch the improvements.

The educational module is suitable for both educators and self-learners, open-source, and it can be highly configurable for specific classes …

Terraform is both a command line tool, and a configuration language to build, change, and version resources from various Infrastructure as a Service (IaaS) providers. There are pre-existing providers to integrate with major cloud platforms, both private and open-source.

In particular, since Terraform natively supports Openstack, it will also work with Chameleon :)

If you have a complex configuration, involving multiple nodes and networks, across one or more Chameleon Sites, defining them in a declarative format can be easier than creating them imperatively.

The examples from this post show how to provision instances, networks, and floating IPs across multiple Chameleon …

This month we present an interview with Aniruddha Gokhale, Full Professor of Computer Science and Engineering at Vanderbilt University who is using Chameleon to teach classes on cloud computing, computer networks, and distributed systems. Professor Gokhale discusses the challenges of teaching with testbeds, explains how he managed to overcome it in his own teaching, and shares recommendations on how to best leverage the power of testbeds in the classroom.