ULOOF: a User Level Online Offloading Framework for Mobile Edge Computing

José L. D. Neto 1, 2, 3 Se-Young Yu 2 Daniel Macedo 1 José M. S. Nogueira 1 Rami Langar 4 Stefano Secci 2
1 DCC - UFMG - Departamento de Ciência da Computação [Minas Gerais]
2 Phare
LIP6 - Laboratoire d'Informatique de Paris 6
3 Google Inc.
4 LIGM - Laboratoire d'Informatique Gaspard-Monge
Abstract : Mobile devices are equipped with limited processing power and battery charge. A mobile computation offloading framework is a software that provides better user experience in terms of computation time and energy consumption, also taking profit from edge computing facilities. This article presents User-Level Online Offloading Framework (ULOOF), a lightweight and efficient framework for mobile computation offloading. ULOOF is equipped with a decision engine that minimizes remote execution overhead, while not requiring any modification in the device's operating system. By means of real experiments with Android systems and simulations using large-scale data from a major cellular network provider, we show that ULOOF can offload up to 73% of computations, and improve the execution time by 50% while at the same time significantly reducing the energy consumption of mobile devices.
Keywords : Index Terms—Computation Offloading Edge Computing Android
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Article dans une revue
IEEE Transactions on Mobile Computing, Institute of Electrical and Electronics Engineers, 2018, 〈10.1109/TMC.2018.2815015〉
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José L. D. Neto, Se-Young Yu, Daniel Macedo, José M. S. Nogueira, Rami Langar, et al.. ULOOF: a User Level Online Offloading Framework for Mobile Edge Computing. IEEE Transactions on Mobile Computing, Institute of Electrical and Electronics Engineers, 2018, 〈10.1109/TMC.2018.2815015〉. 〈hal-01547036v2〉

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