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Authors: Juan J. Merelo-Guervós 1 ; Mario García-Valdez 2 and Pedro Castillo 1

Affiliations: 1 Department of Computer Engineering, Automatics and Robotics, University of Granada, Granada, Spain ; 2 Department of Graduate Studies, National Technological Institute of Mexico, Tijuana, Mexico

Keyword(s): Green Computing, Metaheuristics, JavaScript, Energy-Aware Computing, Evolutionary Algorithms.

Abstract: What is known as energy-aware computing includes taking into account many different variables and parameters when designing an application, which makes it necessary to focus on a single one to obtain meaningful results. In this paper, we will look at the energy consumption of three different JavaScript interpreters: bun, node and deno; given their different conceptual designs, we should expect different energy budgets for running the (roughly) same workload, operations related to evolutionary algorithms (EA), a population-based stochastic optimization algorithm. In this paper we will first test different tools to measure per-process energy consumption in a precise way, trying to find the one that gives the most accurate estimation; after choosing the tool by performing different experiments on a workload similar to the one carried out by EA, we will focus on EA-specific functions and operators and measure how much energy they consume for different problem sizes. From this, we will tr y to draw a conclusion on which JavaScript interpreter should be used in this kind of workloads if energy (or related expenses) has a limited budget. (More)

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Paper citation in several formats:
J. Merelo-Guervós, J.; García-Valdez, M. and Castillo, P. (2023). An Analysis of Energy Consumption of JavaScript Interpreters with Evolutionary Algorithm Workloads. In Proceedings of the 18th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-665-1; ISSN 2184-2833, SciTePress, pages 175-184. DOI: 10.5220/0012128100003538

@conference{icsoft23,
author={Juan {J. Merelo{-}Guervós}. and Mario García{-}Valdez. and Pedro Castillo.},
title={An Analysis of Energy Consumption of JavaScript Interpreters with Evolutionary Algorithm Workloads},
booktitle={Proceedings of the 18th International Conference on Software Technologies - ICSOFT},
year={2023},
pages={175-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012128100003538},
isbn={978-989-758-665-1},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Software Technologies - ICSOFT
TI - An Analysis of Energy Consumption of JavaScript Interpreters with Evolutionary Algorithm Workloads
SN - 978-989-758-665-1
IS - 2184-2833
AU - J. Merelo-Guervós, J.
AU - García-Valdez, M.
AU - Castillo, P.
PY - 2023
SP - 175
EP - 184
DO - 10.5220/0012128100003538
PB - SciTePress