On Reducing IoT Service Delay via Fog Offloading

被引：251

作者：

Yousefpour, Ashkan ^{[1
]}

Ishigaki, Genya ^{[1
]}

Gour, Riti ^{[1
]}

Jue, Jason P. ^{[1
]}

机构：

[1] Univ Texas Dallas, Dept Comp Sci, Adv Network Res Lab, Richardson, TX 75080 USA

来源：

IEEE INTERNET OF THINGS JOURNAL | 2018年 / 5卷 / 02期

关键词：

Cloud computing; fog computing; Internet of Things (IoT); Markovian queueing networks; quality of service (QoS); task offloading;

D O I：

10.1109/JIOT.2017.2788802

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

With the Internet of Things (IoT) becoming a major component of our daily life, understanding how to improve the quality of service for IoT applications through fog computing is becoming an important problem. In this paper, we introduce a general framework for IoT-fog-cloud applications, and propose a delay-minimizing collaboration and offloading policy for fog-capable devices that aims to reduce the service delay for IoT applications. We then develop an analytical model to evaluate our policy and show how the proposed framework helps to reduce IoT service delay.

引用

页码：998 / 1010

页数：13

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