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

被引：101

作者：

Neto, Jose Leal D. ^{[1
]}

Yu, Se-Young ^{[2
]}

Macedo, Daniel F. ^{[3
]}

Nogueira, Jose Marcos S. ^{[3
]}

Langar, Rami ^{[4
]}

Secci, Stefano ^{[5
]}

机构：

[1] Google Inc, BR-30260070 Belo Horizonte, MG, Brazil

[2] Northwestern Univ, Evanston, IL 60208 USA

[3] Univ Fed Minas Gerais, BR-31270901 Belo Horizonte, MG, Brazil

[4] Univ Paris Est Marne la Vallee UPEM, LIGM CNRS UMR 8049, F-77420 Champs Sur Marne, France

[5] Sorbonne Univ, CNRS, LIP6, Paris, France

来源：

IEEE TRANSACTIONS ON MOBILE COMPUTING | 2018年 / 17卷 / 11期

关键词：

Computation offloading; edge computing; android; WIRELESS CELLULAR NETWORKS; RESOURCE-ALLOCATION; PERFORMANCE; MANAGEMENT;

D O I：

10.1109/TMC.2018.2815015

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：2660 / 2674

页数：15

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