Self-evolving applications over opportunistic communication systems

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

@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