Explore experiments packaged and runnable on Chameleon with ~5 minute videos by the authors explaining how to launch the notebook, provision resources, and run the experiment. Whether you’re new to Chameleon, Jupyter, or Trovi, these videos can help you get started quickly and easily!
Learn all the do's and don'ts of keeping your experiment server secure to maximize your experiment time!
Organizing a summer school, bootcamp or workshop this summer? Having trouble finding a consistent and predictable environment? Learn all about how to use the Chameleon JupyterHub artifact to configure resources (including GPUs!) and create a shared Jupyter notebook computing environment that any event attendee can use. You can manage users, deploy Chameleon resources, and use the Help Desk throughout your event!
Do you have a research cluster with an inflexible interface? Does it not provide the level of access (root) you need to run repeatable experiments? Would you like a well-defined and easy way to contribute under-used resources to the community? Learn what it takes to set up a Chameleon associate site which will give you access to industry-standard APIs, best practices and automation to run a research testbed, and support from the Chameleon team for you and your users.
Chances are, if you're using Chameleon today, you're probably utilizing either the GUI or the CLI (or a mixture of both.) Did you know there's a Python library that makes it easy to script your Chameleon experiments? In January we announced the public release of python-chi, the official Python library for CHI (Chameleon Infrastructure), which is exactly that. Read on to learn all about python-chi and how to easily use it to experiment on Chameleon.
Sit down with Fei Yeh, an associate researcher with the International Center for Advanced Internet Research (iCAIR) at Northwestern University, to learn how a Chameleon associate site was set up, how you can use it, and his experience.
As another semester begins, we’ve rounded up a series of fully packaged experiments on Chameleon. These experiments are all publicly available on Trovi, Chameleon’s sharing platform. The experiments can be used for classes to introduce different topics, tools, or datasets, or serve as an introduction to provisioning resources on Chameleon with Jupyter Notebook. Once you launch an experiment, you can edit the notebook, allowing individual experimentation, and letting you introduce variation, such as trying different resources or datasets.
Is your instance not launching? Are your Floating IPs drifting aimlessly through the ether? Do you have a PI eligibility request? Chameleon tickets are the fastest way to reach the Chameleon support team and receive assistance for all your testbed needs. It’s 2020. Everyone could use a little extra help.
As 2021 and Oscars season approaches, the Chameleon team has compiled “Tickets of the Year” designed to help you avoid (at least some of) the same stumbling blocks of 2020. Read on to learn about some of the most common tickets, their solutions, and some special ticket award categories. You ...
Trovi is the next iteration of the Chameleon experiment management and sharing platform. With Trovi, you can set up and configure your experimental environment from within a Jupyter notebook, document and save your experiment similarly in notebook form, and privately share it with collaborators or publish it for any Chameleon user to build on. Learn more inside!
Chameleon integrates directly with Jupyter Notebook to provide an experimental environment that has everything you could need for research - a cloud testbed, a way to combine actionable code with written documentation, and sharing capabilities through Zenodo. Learn more about how to take advantage of all these capabilities and package your notebooks for publishing.