This blog post introduces the latest advancements in peripheral support for the CHI@Edge research testbed. It highlights the platform's holistic approach to integrating a wide range of sensors and cameras, opening up new possibilities for edge computing experiments. The post covers recent updates to documentation and tutorials, showcasing specific peripherals like the Waveshare Sense HAT-B and the Pi Camera Module 3. It also provides real-world examples of edge computing applications in fields such as precision agriculture and marine biology. Researchers are guided through the process of utilizing these new capabilities, with links to comprehensive tutorials on GPIO, sensors, and camera …

This month, we are preparing for a big upgrade on July 15th. Additionally, we have CHI-in-a-box for edge sites, new hardware at CHI@UC, and improvements to project management.

In this study, Chuanyu Xue tackles the complex challenge of optimizing Time-Sensitive Networking (TSN) for real-world applications. Using Chameleon's powerful computing resources, he conducts a comprehensive evaluation of 17 scheduling algorithms across 38,400 problem instances. This research not only sheds light on the strengths and weaknesses of various TSN scheduling methods but also demonstrates how large-scale experimentation can drive advancements in network optimization. Readers will gain insights from Xue's journey, including key findings, implementation challenges, and valuable tips for leveraging Chameleon in their own research.

Monitoring power consumption is crucial for understanding the energy efficiency of your applications and systems. In this post, we explore various techniques for measuring power usage on Chameleon nodes, including leveraging Intel's RAPL interface for fine-grained CPU and memory power data, utilizing IPMI's DCMI commands for system-level power information, and employing the Scaphandre tool for detailed per-process power monitoring and visualization. We provide practical examples and step-by-step instructions to help you get started with power measurement on Chameleon, enabling you to gain valuable insights into the energy footprint of your workloads.

This month we’ve again been focusing on improvements to the Chameleon backend, but we still are excited to show our CHI@Edge peripheral guide and new CHI-in-a-box features. We also are preparing for an OpenStack upgrade on July 1st.
 

In this blog post, we explore groundbreaking research on optimizing production ML inference systems to achieve high accuracy while minimizing costs. A collaboration between researchers from multiple institutions has resulted in the development of three adaptive systems - InfAdapter, IPA, and Sponge - that tackle the accuracy-cost trade-off in complex, real-world ML scenarios. Learn how these solutions, implemented on the Chameleon testbed, are pushing the boundaries of cost-effective ML inference and enabling more accessible and scalable ML deployment.

Discover the impact you can make in scientific research as a Senior Research Software Engineer on the Nimbus team. Join us to innovate and transform science on the Chameleon platform!

Recognizing the need for easier modification of running containers, we’ve introduced a straightforward method for SSHing into CHI@Edge containers, enhancing your development and experimentation processes. Our new tutorial on Trovi helps you create an SSH-ready base container, extending the CHI@Edge “hello world” example to enable remote access. This allows you to troubleshoot, configure, and update containers as if they were real servers. Access the tutorial via the CHI@Edge dashboard, and start developing with enhanced flexibility and ease.

Many folks in our community (now over 10,000 strong!) use our testbed for projects with student interns, REU sites, and summer courses. In Summer 2022, we started a series of introductory tutorials to help students quickly learn the ropes and hit the ground running on their summer projects. While Chameleon has extensive documentation, webinars, and blogs demonstrating our features and latest updates, these tutorials add extra structure, interaction, and context for those eager to harness the power of Chameleon.

This month, we’ve been mostly focusing on improving the Chameleon backend, and don't have any exciting new features for you. We still found some time for a few things that hopefully will make experimentation easier, including an upcoming reproducibility workshop, an updated Chameleon tutorial video, and two new Trovi artifacts: for orchestrating instances and using SSH on CHI@Edge.