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

View Researcher's Other Codes

Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).

Please contact us in case of a broken link from here

Authors Jose Leal D. Neto, Se-Young Yu, Daniel F. Macedo, Jose Marcos S. Nogueira, Rami Langar, Stefano Secci
Journal/Conference Name IEEE Transactions on Mobile Computing
Paper Category
Paper 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 percent of computations, and improve the execution time by 50 percent while at the same time significantly reducing the energy consumption of mobile devices.
Date of publication 2018
Code Programming Language Java
Comment

Copyright Researcher 2022