Specialising Guava's Cache to Reduce Energy Consumption

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Burles:2015:SSBSEa,

• author = "Nathan Burles and Edward Bowles and Bobby R. Bruce and Komsan Srivisut",
• title = "Specialising {Guava's} Cache to Reduce Energy Consumption",
• booktitle = "SSBSE",
• year = "2015",
• editor = "Yvan Labiche and Marcio Barros",
• volume = "9275",
• series = "LNCS",
• pages = "276--281",
• address = "Bergamo, Italy",
• month = sep # " 5-7",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, genetic improvement, SBSE, Parameter tuning, Library specialisation, Energy profiling, Reduced power consumption",
• isbn13 = "978-3-319-22182-3",
• URL = "http://www.cs.ucl.ac.uk/staff/R.Bruce/Burles2015Specialising.pdf",
• DOI = "doi:10.1007/978-3-319-22183-0_23",
• size = "6 pages",
• abstract = "In this article we use a Genetic Algorithm to perform parameter tuning on Google Guava Cache library, specialising it to OpenTripPlanner. A new tool, Opacitor, is used to deterministically measure the energy consumed, and we find that the energy consumption of OpenTripPlanner may be significantly reduced by tuning the default parameters of Guava's Cache library. Finally we use Jalen, which uses time and CPU load as a proxy to calculate energy consumption, to corroborate these results.",
• notes = "Not on GP? BRB suggests it is GP. Open Street Map tiles cached. http://ssbse.info/2015",

}

Genetic Programming entries for Nathan Burles Edward Bowles Bobby R Bruce Komsan Srivisut

Citations