Self-evolving applications over opportunistic communication systems

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Carreras:2010:percomWKS,
  author =       "Iacopo Carreras and David Linner",
  title =        "Self-evolving applications over opportunistic
                 communication systems",
  booktitle =    "8th IEEE International Conference on Pervasive
                 Computing and Communications Workshops (PERCOM
                 Workshops, 2010)",
  year =         "2010",
  month =        mar # " 29-" # apr # " 2",
  pages =        "153--158",
  keywords =     "genetic algorithms, genetic programming, BioNets, P2P,
                 mobile devices, opportunistic communication systems,
                 self-evolving applications, mobile radio",
  abstract =     "In this work, we focus on an application scenario in
                 which services running over users mobile devices
                 exploit opportunistic communications in order to evolve
                 over time, as the result of a distributed and
                 collaborative process. We propose a framework which is
                 based on genetic programming and supports an
                 asynchronous and distributed evolution of composite
                 services. We implement the framework over off-the-shelf
                 components and evaluate it through field trials in the
                 case of a gaming scenario. Results show the ability of
                 the proposed system to evolve over time in order to
                 adapt to varying contexts.",
  DOI =          "doi:10.1109/PERCOMW.2010.5470677",
  notes =        "Mashup. telephone. GUI assumed. bionets. Ten people
                 played unsolvable quiz. Evolve workflow graph (task
                 schedule) and data flow graph (port connections).
                 Fitness based on resources consumed (memory, CPU,
                 network, electrical power) and fitting user needs
                 against 'optimal execution profile' which gives
                 'optimal output values'. Deadlock prevention. W3C
                 widget. Also known as \cite{5470677}",
}

Genetic Programming entries for Iacopo Carreras David Linner

Citations