Fog Orchestration for Internet of Things Services

被引：2

作者：

Wen, Zhenyu ^{[1
]}

Yang, Renyu ^{[2
]}

Garraghan, Peter ^{[3
]}

Lin, Tao ^{[4
]}

Xu, Jie ^{[5
]}

Rovatsos, Michael ^{[1
]}

机构：

[1] Univ Edinburgh, Sch Informat, Edinburgh, Midlothian, Scotland

[2] Beihang Univ, Sch Comp Sci & Engn, Beijing, Peoples R China

[3] Univ Lancaster, Dept Comp & Commun, Lancaster, England

[4] Ecole Polytech Fed Lausanne, Dept Comp & Commun, Lausanne, Switzerland

[5] Univ Leeds, Leeds, W Yorkshire, England

来源：

IEEE INTERNET COMPUTING | 2017年 / 21卷 / 02期

基金：

英国工程与自然科学研究理事会;

关键词：

D O I：

10.1109/mic.2017.36

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Large-scale Internet of Things (IoT) services such as healthcare, smart cities, and marine monitoring are pervasive in cyber-physical environments. These complex IoT services are increasingly composed of sensors, devices, and compute resources within fog computing infrastructures. Orchestrating such applications can simplify maintenance and enhance data security and system reliability. However, efficiently dealing with these services' dynamic variations and transient operational behavior is a crucial challenge. This article provides an overview of the core issues, challenges, and future research directions in fog-enabled orchestration for IoT services.

引用

页码：16 / 24

页数：9

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