As with many projects and programming languages, there is more than one way to achieve a task when orchestrating Chameleon computing and network resources. As a result, experimenters may feel overwhelmed and choose to stick to the orchestration method they are familiar with even when another method might be more effective for the task in hand.
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.
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.
Jupyter notebooks are a great tool for structuring your computer science experiments on Chameleon because they allow you to iterate on your idea interactively, intuitively, and quickly. But, it may not be obvious how you can leverage this tool for running an experiment...
Did you ever want to create a lease for a specific node? Did you ever want to create a lease that does NOT include a specific node? Ignore a node that has been reserved? Reserve a whole rack perhaps? Or just a few nodes but on the same rack? Then look no farther; here are five tips and tricks for node selection and node avoidance!
Chameleon's DirectStitch capabilities enable isolated direct OSI layer 2 connections between tenant networks and external facilities, including other Chameleon sites.
Many things can go wrong when deploying a large cluster of nodes. We thought it would be helpful for some of you to include some useful tips and tricks for deploying 20+ node clusters when some of the nodes may cause you problems.
Have you ever lost your data after your instance failed, or are your instances failing to launch with a custom image? You may be handling your data incorrectly in the cloud. Read on to learn how to keep your data persistent and your custom images small.
IPv4 address exhaustion, along with natural resources depletion and global warming, has long been recognized as one of the greatest environmental threats facing humanity. Read on to learn how to keep floating IPs afloat!