Towards Rigorous Validation of Energy Optimisation Experiments
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Bokhari:2020:GECCO,
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author = "Mahmoud A. Bokhari and Brad Alexander and
Markus Wagner",
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title = "Towards Rigorous Validation of Energy Optimisation
Experiments",
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year = "2020",
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editor = "Carlos Artemio {Coello Coello} and
Arturo Hernandez Aguirre and Josu Ceberio Uribe and
Mario Garza Fabre and Gregorio {Toscano Pulido} and
Katya Rodriguez-Vazquez and Elizabeth Wanner and
Nadarajen Veerapen and Efren Mezura Montes and
Richard Allmendinger and Hugo Terashima Marin and
Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and
Heike Trautmann and Ke Tang and John Koza and
Erik Goodman and William B. Langdon and Miguel Nicolau and
Christine Zarges and Vanessa Volz and Tea Tusar and
Boris Naujoks and Peter A. N. Bosman and
Darrell Whitley and Christine Solnon and Marde Helbig and
Stephane Doncieux and Dennis G. Wilson and
Francisco {Fernandez de Vega} and Luis Paquete and
Francisco Chicano and Bing Xue and Jaume Bacardit and
Sanaz Mostaghim and Jonathan Fieldsend and
Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and
Carlos Segura and Carlos Cotta and Michael Emmerich and
Mengjie Zhang and Robin Purshouse and Tapabrata Ray and
Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and
Frank Neumann",
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isbn13 = "9781450371285",
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publisher = "Association for Computing Machinery",
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publisher_address = "New York, NY, USA",
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URL = "https://arxiv.org/abs/2004.04500",
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URL = "https://doi.org/10.1145/3377930.3390245",
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DOI = "doi:10.1145/3377930.3390245",
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booktitle = "Proceedings of the 2020 Genetic and Evolutionary
Computation Conference",
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pages = "1232--1240",
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size = "9 pages",
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keywords = "genetic algorithms, genetic programming, genetic
improvement, Android, non-functional properties, energy
consumption, mobile applications",
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address = "internet",
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series = "GECCO '20",
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month = jul # " 8-12",
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organisation = "SIGEVO",
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abstract = "The optimisation of software energy consumption is of
growing importance across all scales of modern
computing, i.e., from embedded systems to data-centres.
Practitioners in the field of Search-Based Software
Engineering and Genetic Improvement of Software
acknowledge that optimising software energy consumption
is difficult due to noisy and expensive fitness
evaluations. However, it is apparent from results to
date that more progress needs to be made in rigorously
validating optimisation results. This problem is
pressing because modern computing platforms have highly
complex and variable behaviour with respect to energy
consumption. To compare solutions fairly we propose in
this paper a new validation approach called
R3-validation which exercises software variants in a
rotated-round-robin order. Using a case study, we
present an in-depth analysis of the impacts of changing
system states on software energy usage, and we show how
R3-validation mitigates these. We compare it with
current validation approaches across multiple devices
and operating systems, and we show that it aligns best
with actual platform behaviour.",
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notes = "Also known as \cite{10.1145/3377930.3390245}
GECCO-2020 A Recombination of the 29th International
Conference on Genetic Algorithms (ICGA) and the 25th
Annual Genetic Programming Conference (GP)",
- }
Genetic Programming entries for
Mahmoud A Bokhari
Brad Alexander
Markus Wagner
Citations