I wrote a unikernel in Rust, designed to carry out a single task in a serverless environment. Initially, I benchmarked a "hello world" task against Docker, a Linux VM, and a process, and the unikernel kernel scaled much better than either Docker or a VM, only falling short of the process at extremely high throughput.
The source code for the unikernel can be found at https://github.com/olivercalder/rust-kernel.
The scripts used in benchmarking the unikernel, as well as details on the methodology and results, can be found at https://github.com/olivercalder/kernel-benchmark.
Later, I implemented a standalone png thumbnail generator titled rusty-nail as a sample serverless workload for the unikernel, and then moved it into a standalone program which can be invoked directly or integrated into a VM, Docker/Podman, or other systems. The kernel benchmarks were adapted to use the thumbnail generator, and the results are available in that repository.
The standalone code for rusty-nail can be found at https://github.com/olivercalder/rusty-nail.
This is an extension of the work from the Sonic Signatures project, built to process texts from the EEBO-TCP project. This allows researchers to extract and clean the speech of individual characters from large xml files, and organize these characters' speech into a format which can be easily translated and analyzed, such as by the scripts from the Sonic Signatures project.
Source code and a more verbose (and up-to-date) description can be found at https://github.com/olivercalder/character-text-pipeline.
A machine learning and data visualization toolkit written to analyze phonological patterns in the speech of characters from Shakespeare's plays. Source code and a more verbose description can be found at https://github.com/olivercalder/sonic-signatures.