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.
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.
Simpler SDN setups, a new Jupyter tutorial, and a new focus in the new year--more details inside!
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 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.
This month we announce a new rack of Cascade Lake nodes for your enjoyment at CHI@TACC!
SC19 will be held in Denver, Colorado the week of November 17-22. Chameleon capabilities will be on display in demos, talks, posters, and more.
Modern computational science depends on many complex, compute, and data-intensive applications operating on distributed datasets that originate from a variety of scientific instruments and data repositories. Two major challenges for these applications are: (1) the provisioning of compute resources and (2) the integration of data into the scientists’ workflow.