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

by Kate Keahey
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

by Zhuo Zhen

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. 

The “History Command” of Chameleon

by Zhuo Zhen

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.