Automatic offloading of mobile applications into the cloud by means of genetic programming

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@Article{Folino:2014:ASC,
  author =       "G. Folino and F. S. Pisani",
  title =        "Automatic offloading of mobile applications into the
                 cloud by means of genetic programming",
  journal =      "Applied Soft Computing",
  volume =       "25",
  pages =        "253--265",
  year =         "2014",
  ISSN =         "1568-4946",
  DOI =          "doi:10.1016/j.asoc.2014.09.016",
  URL =          "http://www.sciencedirect.com/science/article/pii/S1568494614004578",
  abstract =     "The limited battery life of modern mobile devices is
                 one of the key problems limiting their use. Even if the
                 offloading of computation onto cloud computing
                 platforms can considerably extend battery duration, it
                 is really hard not only to evaluate the cases where
                 offloading guarantees real advantages on the basis of
                 the requirements of the application in terms of data
                 transfer, computing power needed, etc., but also to
                 evaluate whether user requirements (i.e. the costs of
                 using the cloud services, a determined QoS required,
                 etc.) are satisfied. To this aim, this paper presents a
                 framework for generating models to make 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. The fitness
                 function adopted permits different weights to be given
                 to the four categories considered during the process of
                 building the model. Experimental results, conducted on
                 datasets representing different categories of mobile
                 applications, permit the analysis of the behaviour of
                 our algorithm in different applicative contexts.
                 Finally, a comparison with the state of the art of the
                 classification algorithm establishes the goodness of
                 the approach in modelling the offloading process.",
  keywords =     "genetic algorithms, genetic programming, Mobile
                 computing, Cloud computing, Data mining",
}

Genetic Programming entries for Gianluigi Folino Francesco Sergio Pisani

Citations