Lots of SDN capability upgrades, new performance metrics, updated cloud trace data and general improvements all around! Way more fun than purging your inbox of all those Cyber Monday promo mails from sites you're pretty sure you never signed up at.

We would like to invite you to come to the Chameleon User Meeting to be held on February 6-7, 2019 in Austin, TX at the Texas Advanced Computing Center on the University of Texas J.J. Pickle Research Campus.

New Chameleon Associate Site, new experimental services, lots of upgrades and Call for Presenations and Demonstrations at the Chameleon User Meeting -- there is no end of goodies we have for you this month!
 

Ready-to-use Data Transfer Node (DTN) is provided, and it can be used to provide efficient network data transfer over a long fat network. In addition, a Chameleon Complex Appliance is publish for easy spawning a set of DTNs in Chameleon Cloud.

Great news in Chameleon-land!

Jupyter notebook support, improvements for Software Defined Networking experiments, and more usability improvements -- read more to find out what all we have cooked up in the month of September!

This blog describes a prototype of a system that leverages the capabilities of flexible switches that incorporate protocol-independent packet processing in order to intelligently route traffic based on application headers.

Great news in Chameleon-land: better way to manage leases, publish appliances, and user interface improvements -- and on top of that hardware contribution from one of our users and an alpha version of CHI-in-a-box!

Chamaleon now supports isloated OpenFlow experiements controlled by users.  This tips blog post shows you how to get started using OpenFlow on Chameleon. 

Great news in Chameleon-land!

We’ve been busy in July and added new hardware, support for whole disk image boot for ARM64 nodes, lease end alerts and Bring Your Own Controller (BYOC) support at TACC!

Popper is a protocol for creating reproducible experiments designed to leverage popular DevOps tools and techniques, such as Git, Docker and continuous integration (CI) in order to produce experiments that can be re-executed on different environments with a single command.