Design, Resource Management, and Evaluation of Fog Computing Systems: A Survey

被引：97

作者：

Martinez, Ismael ^{[1
]}

Hafid, Abdelhakim Senhaji ^{[1
]}

Jarray, Abdallah ^{[2
]}

机构：

[1] Univ Montreal, Dept Comp Sci & Operat Res, Montreal, PQ, Canada

[2] Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON K1N 6N5, Canada

来源：

IEEE INTERNET OF THINGS JOURNAL | 2021年 / 8卷 / 04期

关键词：

Cloud computing; Edge computing; Resource management; Servers; Internet of Things; Computational modeling; Tools; Fog computing; fog design and dimensioning; fog infrastructure evaluation; fog resource management; Internet of Things (IoT); simulation; survey; MOBILE-CLOUD; BIG DATA; ARCHITECTURE; INTERNET; EDGE; INFRASTRUCTURE; SIMULATION; FRAMEWORK; SELECTION; TOOLKIT;

D O I：

10.1109/JIOT.2020.3022699

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A steady increase in Internet-of-Things (IoT) applications needing large-scale computation and long-term storage has lead to an overreliance on cloud computing. The resulting network congestion in the cloud, coupled with the distance of cloud data centers from IoT, contributes to unreliable end-to-end response delay. Fog computing has been introduced as an alternative to cloud, providing low-latency service by bringing processing and storage resources to the network edge. In this survey, we sequentially present the phases required in the implementation and realization of practical fog computing systems: 1) design and dimensioning of a fog infrastructure; 2) fog resource provisioning for IoT application use and IoT resource allocation to fog; 3) installation of fog frameworks for fog resource management; and 4) evaluation of fog infrastructure through simulation and emulation. Our focus is on determining the implementation aspects required to build a practical large-scale fog computing infrastructure to support the general IoT landscape.

引用

页码：2494 / 2516

页数：23