Alright ! Today we’re going to talk about a topic that will make your Linux systems go faster than Usain Bolt on juice tuning the NOOP scheduler for high throughput. That’s right, you heard me correctly. The NOOP scheduler is not just for lazy people who don’t want to do any work. It can actually be a powerful tool when used properly!

To begin with, what exactly the NOOP scheduler does. In simple terms, it does nothing at all. That’s right, no processing, no sorting, just pure and utter laziness. But don’t worry, that doesn’t mean it can’t be useful for certain workloads!

Now Let’s jump right into the technical details of how to tune this magical scheduler for high throughput. First, you need to make sure your system is running a recent kernel version (at least 4.15 or higher). This will ensure that all the necessary features are available for tuning the NOOP scheduler.

Next, open up your terminal and run this command:

# This command uses sudo to run sysctl, which is a command used to view and modify kernel parameters.
# The -w flag is used to set the value of the specified parameter.
# In this case, we are setting the value of "dev.sda.queue_depth" to 2048.
sudo sysctl -w dev.sda.queue_depth=2048

This command sets the queue depth of the disk to 2048. This means that when data is being read or written, it will be buffered in memory for up to 2048 requests before being sent to the disk. This can greatly improve throughput and reduce latency!

Now how we can optimize our I/O workload specifically for the NOOP scheduler. First, make sure that your data is already sorted in a way that makes sense for the NOOP scheduler to process it efficiently. This means that if you have a large dataset with many small files, consider merging them into larger ones before processing them.

Secondly, try to avoid using any other I/O schedulers besides the NOOP scheduler. While other schedulers may be better for certain workloads, they can actually slow down your system when used in conjunction with the NOOP scheduler. This is because each scheduler has its own overhead and can cause unnecessary context switching between them.

Finally, make sure that you have enough memory to handle your I/O workload. The more data that can be buffered in memory before being sent to disk, the faster your system will perform!

And there you have it tuning the NOOP scheduler for high throughput on Linux systems. It may seem counterintuitive at first, but trust us, this lazy little guy is a powerhouse when used properly!