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Samir Kharma

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Conference Open access Jul 2026

Estimating Execution Progress of Black-Box Tasks with Resource-Consumption Models

This work presents a novel approach that, given a generic resource-consumption model, estimates the progress of an ongoing execution in the form of a probability distribution which supports uncertainty quantification, and performs estimation via Markov-chain Monte-Carlo sampling around a maximum a posteriori estimate.

Samir Kharma, Tobias Wies, Florian Schintke et al. · 0 citations

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