Chameleon Experiments using Direct Network Connections to Public Clouds like AWS

Chameleon eliminates the need to involve campus IT staff and enables access to direct public cloud network connections to all Chameleon users.  It is now possible for any user to experiment with these advanced cloud networking technologies using Chameleon resources without the need for complicated campus networking configuration. Learn more about the capability in this blog. 

Choosing the right orchestration in Chameleon

As with many projects and programming languages, there is more than one way to achieve a task when orchestrating Chameleon computing and network resources. As a result, experimenters may feel overwhelmed and choose to stick to the orchestration method they are familiar with even when another method might be more effective for the task in hand. 

A Scalable Cyberinfrastructure for Repeatable Ecological Research

This blog discusses a new experiment deployed on Chameleon called CIEF, a Cyber Infrastructure for Ecological Forecasting (Dietz & Matta, 2018). CIEF supports data-driven research in ecological forecasting to understand our ecosystem and drive policy. Examples include predicting environmental changes, corn production in the near to medium term, types of disease-carrying mosquitos, based on data related to air, land, and water.

Chameleon use for COVID-19 projects

Most of you have probably seen the NSF Dear Colleague Letter regarding resource contributions of NSF-funded infrastructure to the novel coronavirus (COVID-19) research. We have obtained permission from NSF to join this effort and extend the range of Chameleon supported projects to include projects working on how to model and understand the spread of COVID-19 for a limited time. 

All About Traces

The workload traces from data centers facilitate research on the design of computer systems, job scheduling, and resource management.  Researchers can analyze the traces and replicate real-life workloads for their experiments. In this blog, we will briefly review some major released traces and introduce the benefits of using a Chameleon-developed trace generator for easily creating traces from cloud providers who use OpenStack. 

Chameleon Changelog for February 2020

Introducing a new networking capability: connect your Chameleon networks directly to AWS networks via DirectConnect! And, we discuss the addition of 40 new GPU cards at CHI@UC.

Accessing multiple nodes in a private network without DNS using Jupyter Notebook

A Jupyter notebook has been added to your Chameleon Jupyter Hub environment to show how to automate deploying a server and several clients which are configured with the names and IPs for every single other host in a custom isolated network. Also included are examples of several tricks you might find useful for deploying a complex experiment.

Chameleon Changelog for December 2019

From everyone at Chameleon, we hope you had a pleasant holiday and welcome to the new year! Details inside about new HTTPS capabilities and important webinar/conference dates to kick things off in 2020.

The “History Command” of Chameleon

The history command available in Bash is a useful tool, and you probably use it frequently in your daily routine jobs to check the history of the commands executed by the user. In this blog, we will see how an equivalent tool in Chameleon can help you check the experiment setup events you performed on Chameleon.