If you need to speed up computations on your NetBurner module but don’t know where to start, you’re in the right place. During my intern project developing a 1/8-scale autonomous vehicle, I hit a brick wall when computationally intensive tasks started to fail. Instead of accepting that I had reached the limit of the board’s performance, I decided to buckle down and managed to decrease the runtime of computationally intensive tasks by an order of magnitude. This article will discuss the simplest things we can do to measure and improve performance. The provided code is designed to run on a NetBurner module but techniques discussed can be applied to any embedded development project.
SniPCAP is improved and now streaming!
As it was mentioned in the first article, SniPCAP had a lot of room to improve on. The following lists the basic functionalities of SniPCAP:
The previous version of SniPCAP was only a minimum product that temporarily captured a small amount of data; increased scalability and better usability was a necessity (more details on the first part of this project could be found here). This article shows the development of a more scalable product on the NetBurner Module.