Specialising Guava's Cache to Reduce Energy Consumption

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Nathan Burles and Edward Bowles and Bobby R. Bruce and 
                 Komsan Srivisut",
  title =        "Specialising {Guava's} Cache to Reduce Energy
  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
  isbn13 =       "978-3-319-22182-3",
  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.org/2015",

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