A VM-Based Approach for Power Modeling

Power modeling is an essential building block for computer systems in support of energy optimization, energy profiling, and energy-aware application development. In 2024, I introduced VESTA, a novel approach to modeling the power consumption of applications with one key insight: language runtime events are often correlated with a sustained level of power consumption. When compared with the established approach of power modeling based on hardware performance counters (HPCs), VESTA has the benefit of solely requiring application-scoped information and enabling a higher level of explainability, while achieving comparable or even higher precision. I hope to continue on this track of discovering the deep connections between VM-events and power consumption while also providing practical solutions for mapping one to the other through the construction of power models.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1145/3689491.3691816
Primary Topic
Microgrid Control and Optimization
Type
article
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article

A VM-Based Approach for Power Modeling

Joseph Raskind
Microgrid Control and Optimization
article

A VM-Based Approach for Power Modeling

Joseph Raskind
article en

Abstract

Power modeling is an essential building block for computer systems in support of energy optimization, energy profiling, and energy-aware application development. In 2024, I introduced VESTA, a novel approach to modeling the power consumption of applications with one key insight: language runtime events are often correlated with a sustained level of power consumption. When compared with the established approach of power modeling based on hardware performance counters (HPCs), VESTA has the benefit of solely requiring application-scoped information and enabling a higher level of explainability, while achieving comparable or even higher precision. I hope to continue on this track of discovering the deep connections between VM-events and power consumption while also providing practical solutions for mapping one to the other through the construction of power models.

Binghamton University (US)
Affordable and clean energy
Openalex Percentile: Top 79%
Microgrid Control and Optimization
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