@inproceedings{700a315ee31647b78d1821cc917e0a03,
title = "Energy efficient software matching in distributed vehicular fog based architecture with cloud and fixed fog nodes",
abstract = "The rapid development of vehicles on-board units and the proliferation of autonomous vehicles in modrn cities create a potential for a new fog computing paradigm, referred to as vehicular fog computing (VFC). In this paper, we propose an architecture that integrates a vehicular fog (VF) composed of vehicles clustered in a parking lot with a fixed fog node at the access network and the central cloud. We investigate the problem of energy efficient software matching in the VF considering different approaches to deploy software packages in vehicles. ",
keywords = "Cloud, MILP, Power consumption, Software matching, Vehicular fog",
author = "Rui Ma and Alahmadi, {Amal A.} and El-Gorashi, {Taisir E.H.} and Elmirghani, {Jaafar M.H.}",
note = "Funding Information: The authors would like to acknowledge funding from the Engineering and Physical Sciences Research Council (EPSRC), through INTERNET (EP/H040536/1), STAR (EP/K016873/1) and TOWS (EP/S016570/1) projects. All data is provided in the results section of this paper. Publisher Copyright: {\textcopyright} 2020 IEEE.; 22nd International Conference on Transparent Optical Networks, ICTON 2020 ; Conference date: 19-07-2020 Through 23-07-2020",
year = "2020",
month = jul,
doi = "10.1109/ICTON51198.2020.9203175",
language = "English",
isbn = "9781728184241",
series = "International Conference on Transparent Optical Networks",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "1--6",
editor = "Francesco Prudenzano and Crina Cojocaru and Patryk Urban and Marian Marciniak",
booktitle = "2020 22nd International Conference on Transparent Optical Networks, ICTON 2020",
address = "United States",
}