This repo is home to the supporting materials for the paper I wrote for my undergraduate research under advisor Aniruddha Gokhale while at Vanderbilt University in Spring 2020. From the abstract:
This paper analyzes the shortcomings of unikernels as a method of deployment for machine learning inferencing applications as well as provides insights and analysis on future work in this space. The findings of this paper advocate for a tool to enable management of dependent libraries in a unikernel to enable a more ergonomic build process as well as take advantage of the inherent security and perfomance benefits of unikernels.
The full paper can be found in this repo.
The examples are split into two main categories: those used to demo the unik tool and those used to demo the ops tool from Nanos VMs. Each folder contains numerous examples demoing basic use and/or shortcomings of the unikernel used to run the example. Each example includes the information required to run the example.
The software versions used in the writing of this paper:
| Software Component | Version |
|---|---|
| Ops | 0.1.9 |
| Unik | Commit a58d3e8 |
| Tensorflow | v1.15.3 |
The memory-deduplication.md contains supplemental materials that were interesting enough to leave in this repo.