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.

Great news in Chameleon-land!

We’ve had an outstanding June with many hard won features coming to successful completion and thus have a few fireworks to brighten your Holiday! Our new features make possible new groundbreaking networking experiments, make the testbed easier to use for distributed experiments, provide new ways of measuring power consumption, and bring you new hardware to experiment with. Read on to learn about the details!

Did you ever wonder how much power was consumed by executing a program? The Chameleon team recently implemented a feature that automatically collects power usage data on all low power nodes in the system. Instantaneous power usage data (in watts) are collected through the IPMI interface on the chassis controller for the nodes. This “out-of-band” approach does not consume additional power on the node itself and runs even when the node is powered off. Low power nodes for which power usage data are now being collected include all Intel Atoms, low power Xeons, and ARM64s. In this blog post we look at this new feature and use it to calculate the power consumption associated with multiplying two large Python numpy arrays.

ENOS is an integrated framework that facilitates experimenting with OpenStack. ENOS allows researchers to easily express different configurations, enabling fine-grained investigations of OpenStack services. ENOS collects performance metrics at runtime and stores them for post-mortem analysis and sharing.