Explore experiments packaged and runnable on Chameleon with ~5 minute videos by the authors explaining how to launch the notebook, provision resources, and run the experiment. Whether you’re new to Chameleon, Jupyter, or Trovi, these videos can help you get started quickly and easily!
This blog features Stevens Institute of Technology PhD candidate Batyr Charyyev’s research on using network traffic fingerprinting of IoT devices for device identification, anomaly detection and user interaction identification. Learn more about Charyyev and his research, including its applications to infer voice commands to smart home speakers.
This month, we announce a lot of exciting new capabilities for CHI@Edge--Chameleon on the edge! Reserve devices, including Jetson Nanos with NVIDIA TX2 GPUs onboard! We also made it easier to onboard lots of users to a project (helpful for classes!) and gave the hardware catalogue a little refresh, in anticipation of the installation of Phase 3 hardware, which is coming soon!
Learn all the do's and don'ts of keeping your experiment server secure to maximize your experiment time!
Interested in learning how you can save power in computer systems, especially with latency critical applications? Learn more about how profile-guided frequency scaling can help solve this problem, with research supervised by Assistant Professor Vinicius Petrucci at the University of Pittsburgh and presented last month at IEEE/ACM CCGrid!
Join us for an introduction to CHI@Edge, Chameleon's foray into supporting experiments with edge devices, what features are implemented, and which are on the way!
Dates, details, and registration at https://chameleoncloud.org/learn/webinars
This month, we announce the early user period for our "edgy" users out there, remind you to please update your list of publications using Chameleon(!) and also let you know of a few important and cool things going on. Stay tuned next month for some announcements about new hardware installations, if all goes well!
As part of Phase 3, we’re looking to improve the Chameleon experience and make the system generally better over the next 4 years. This is your chance to guide hardware purchases, influence Chameleon capabilities and change priorities in our roadmap.
To help us in this effort, we would like to invite you to take this 10-15 minute survey, and share your experiences, desires, pain points and anything else to help us build a better Chameleon for you! The survey will be open till the end of June.
Thank you in advance for your participation!
The survey is available here: 2021 ...
Organizing a summer school, bootcamp or workshop this summer? Having trouble finding a consistent and predictable environment? Learn all about how to use the Chameleon JupyterHub artifact to configure resources (including GPUs!) and create a shared Jupyter notebook computing environment that any event attendee can use. You can manage users, deploy Chameleon resources, and use the Help Desk throughout your event!
This work is part of George Mason University PhD student Zheng Chai and Prof. Yue Cheng’s research on solving federated learning (FL) bottlenecks for edge devices. Learn more about the authors, their research, and their novel FL training system, FedAT which already has impressive results, improving prediction performance by up to 21.09% and reducing communication cost by up to 8.5 times compared to state-of-the-art FL systems.