MVR: an Architecture for Computation Offloading in Mobile Edge Computing

被引：57

作者：

Wei, Xiaojuan ^{[1
]}

Wang, Shangguang ^{[1
]}

Zhou, Ao ^{[1
]}

Xu, Jinliang ^{[1
]}

Su, Sen ^{[1
]}

Kumar, Sathish ^{[2
]}

Yang, Fangchun ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China

[2] Coastal Carolina Univ, Dept Comp Sci & Informat Syst, Conway, SC USA

来源：

2017 IEEE 1ST INTERNATIONAL CONFERENCE ON EDGE COMPUTING (IEEE EDGE) | 2017年

基金：

中国国家自然科学基金;

关键词：

Mobile Edge Computing; Edge Cloud; Computation Offloading; Architecture; Internet of Things; CLOUD;

D O I：

10.1109/IEEE.EDGE.2017.42

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

As communication and sensing capabilities of mobile devices increase, mobile applications are becoming increasingly complex. The ability of computation offloading, which is one of the main features of mobile edge computing gains relevance as a technique to improve the battery lifetime of mobile devices and increase the performance of applications. In this paper, we describe the offloading system model and present an innovative architecture, called "MVR", contributing to computation offloading in mobile edge computing.

引用

页码：232 / 235

页数：4

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