Computer Science > Databases
[Submitted on 13 Aug 2023 (v1), last revised 22 Dec 2023 (this version, v2)]
Title:Optimizing the cloud? Don't train models. Build oracles!
View PDF HTML (experimental)Abstract:We propose cloud oracles, an alternative to machine learning for online optimization of cloud configurations. Our cloud oracle approach guarantees complete accuracy and explainability of decisions for problems that can be formulated as parametric convex optimizations. We give experimental evidence of this technique's efficacy and share a vision of research directions for expanding its applicability.
Submission history
From: Tiemo Bang [view email][v1] Sun, 13 Aug 2023 17:12:14 UTC (303 KB)
[v2] Fri, 22 Dec 2023 19:18:21 UTC (1,139 KB)
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