uPredict times CPU, memory, and disk probes inside a VM before each application run and uses per-application regression or neural network models to predict execution time from the probe readings, reporting average errors of 9.8% to 17% on a contended private cloud and below 4% on public clouds.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.PF 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
uPredict: A User-Level Profiler-Based Predictive Framework for Single VM Applications in Multi-Tenant Clouds
uPredict times CPU, memory, and disk probes inside a VM before each application run and uses per-application regression or neural network models to predict execution time from the probe readings, reporting average errors of 9.8% to 17% on a contended private cloud and below 4% on public clouds.