A Framework for Modeling Automatic Offloading of Mobile Applications Using Genetic Programming
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- @InProceedings{Folino:evoapps13,
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author = "Gianluigi Folino and Francesco Sergio Pisani",
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title = "A Framework for Modeling Automatic Offloading of
Mobile Applications Using Genetic Programming",
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booktitle = "Applications of Evolutionary Computing,
EvoApplications 2013: EvoCOMNET, EvoCOMPLEX, EvoENERGY,
EvoFIN, EvoGAMES, EvoIASP, EvoINDUSTRY, EvoNUM, EvoPAR,
EvoRISK, EvoROBOT, EvoSTOC",
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year = "2013",
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month = "3-5 " # apr,
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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",
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series = "LNCS",
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volume = "7835",
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publisher = "Springer Verlag",
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address = "Vienna",
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publisher_address = "Berlin",
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pages = "62--71",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-37191-2",
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DOI = "doi:10.1007/978-3-642-37192-9_7",
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size = "10 pages",
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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.",
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notes = "
EvoApplications2013 held in conjunction with
EuroGP2013, EvoCOP2013, EvoBio'2013 and EvoMusArt2013",
- }
Genetic Programming entries for
Gianluigi Folino
Francesco Sergio Pisani
Citations