A Framework for Modeling Automatic Offloading of Mobile Applications Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Folino:evoapps13,
  author =       "Gianluigi Folino and Francesco Sergio Pisani",
  title =        "A Framework for Modeling Automatic Offloading of
                 Mobile Applications Using Genetic Programming",
  booktitle =    "Applications of Evolutionary Computing,
                 EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY,
                 EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR,
                 EvoRISK, EvoROBOT, EvoSTOC",
  year =         "2013",
  month =        "3-5 " # apr,
  editor =       "Anna I. Esparcia-Alcazar and Antonio Della Cioppa and 
                 Ivanoe {De Falco} and Ernesto Tarantino and 
                 Carlos Cotta and Robert Schaefer and Konrad Diwold and 
                 Kyrre Glette and Andrea Tettamanzi and 
                 Alexandros Agapitos and Paolo Burrelli and J. J. Merelo and 
                 Stefano Cagnoni and Mengjie Zhang and Neil Urquhart and Kevin Sim and 
                 Aniko Ekart and Francisco {Fernandez de Vega} and 
                 Sara Silva and Evert Haasdijk and Gusz Eiben and 
                 Anabela Simoes and Philipp Rohlfshagen",
  series =       "LNCS",
  volume =       "7835",
  publisher =    "Springer Verlag",
  address =      "Vienna",
  publisher_address = "Berlin",
  pages =        "62--71",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-37191-2",
  DOI =          "doi:10.1007/978-3-642-37192-9_7",
  size =         "10 pages",
  abstract =     "The limited battery life of the modern mobile devices
                 is one of the key problems limiting their usage. The
                 offloading of computation on cloud computing platforms
                 can considerably extend the battery duration. However,
                 it is really hard not only to evaluate the cases in
                 which the offloading guarantees real advantages on the
                 basis of the requirements of application in terms of
                 data transfer, computing power needed, etc., but also
                 to evaluate if user requirements (i.e. the costs of
                 using the clouds, a determined QoS required, etc.) are
                 satisfied. To this aim, in this work it is presented a
                 framework for generating models for taking automatic
                 decisions on the offloading of mobile applications
                 using a genetic programming (GP) approach. The GP
                 system is designed using a taxonomy of the properties
                 useful to the offloading process concerning the user,
                 the network, the data and the application. Finally, the
                 fitness function adopted permits to give different
                 weights to the four categories considered during the
                 process of building the model.",
  notes =        "http://www.kevinsim.co.uk/evostar2013/cfpEvoApplications.html
                 EvoApplications2013 held in conjunction with
                 EuroGP2013, EvoCOP2013, EvoBio'2013 and EvoMusArt2013",
}

Genetic Programming entries for Gianluigi Folino Francesco Sergio Pisani

Citations