The paper argues that future operating systems should be built as flat networks of autonomous agents, but gives no evidence that such a design works.
The Dark Side of Unikernels for Machine Learning
1 Pith paper cite this work. Polarity classification is still indexing.
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Pith paper citing it
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 performance benefits of unikernels.
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cs.DC 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
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Agent Centric Operating System -- a Comprehensive Review and Outlook for Operating System
The paper argues that future operating systems should be built as flat networks of autonomous agents, but gives no evidence that such a design works.