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Publication Detail
Specialising Guava’s Cache to reduce energy consumption
  • Publication Type:
    Conference
  • Authors:
    Burles N, Bowles E, Bruce BR, Srivisut K
  • Publication date:
    01/01/2015
  • Pagination:
    276, 281
  • Published proceedings:
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volume:
    9275
  • ISBN-13:
    9783319221823
  • Status:
    Published
  • Print ISSN:
    0302-9743
Abstract
© Springer International Publishing Switzerland 2015. In this article we use a Genetic Algorithm to perform parameter tuning on Google Guava’s 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 utilisation as a proxy to calculate energy consumption, to corroborate these results.
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