Self-evolving applications over opportunistic communication systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Carreras:2010:percomWKS,
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author = "Iacopo Carreras and David Linner",
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title = "Self-evolving applications over opportunistic
communication systems",
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booktitle = "8th IEEE International Conference on Pervasive
Computing and Communications Workshops (PERCOM
Workshops, 2010)",
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year = "2010",
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month = mar # " 29-" # apr # " 2",
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pages = "153--158",
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keywords = "genetic algorithms, genetic programming, BioNets, P2P,
mobile devices, opportunistic communication systems,
self-evolving applications, mobile radio",
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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.",
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DOI = "doi:10.1109/PERCOMW.2010.5470677",
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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