The Dark Side of Unikernels for Machine Learning
Not on the map. Why?
Abstract (arXiv)
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 performance benefits of unikernels.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 27 Apr 2020.
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1 paper.