A Software-Defined-Networking-Enabled Approach for Edge-Cloud Computing in the Internet of Things

被引：12

作者：

Dai, Minghui ^{[1
]}

Su, Zhou ^{[2
]}

Li, Ruidong ^{[3
]}

Yu, Shui ^{[4
]}

机构：

[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China

[2] Xi An Jiao Tong Univ, Xian, Peoples R China

[3] Kanazawa Univ, Kanazawa, Ishikawa, Japan

[4] Univ Technol Sydney, Sch Comp Sci, Sydney, NSW, Australia

来源：

IEEE NETWORK | 2021年 / 35卷 / 05期

关键词：

Cloud computing; Computer architecture; Reinforcement learning; Blockchains; Internet of Things; Resource management; Software defined networking; Edge computing; ALLOCATION; MANAGEMENT;

D O I：

10.1109/MNET.101.2100052

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The proliferation of smart devices has led to a huge amount of data streaming in the Internet of Things (IoT). However, the resource-limited devices cannot satisfy the demands of computing-in-tensive but delay-sensitive applications. The data delivery among devices may be tampered with by malicious users. These pose new challenges to provide secure and intelligent services in IoT. Blockchain and reinforcement learning (RL) are promising techniques for establishing a secure environment and intelligent resource management. In this article, we introduce a novel software defined networking (SDN)-enabled architecture for edge-cloud orchestrated computing to support secure and intelligent services in IoT. We first introduce the SDN-enabled architecture by integrating cloud computing, edge computing, and IoT networks. Then we provide several applications of SDN-enabled architecture in edge-cloud orchestrated computing. Next, we propose the blockchain and RL envisioned solutions to implement secure and intelligent services in IoT. Moreover, a case study of blockchain- and RL-enabled secure and intelligent computing offloading is presented to validate its effectiveness. We finally provide our conclusion and discuss several promising research directions.

引用

页码：66 / 73

页数：8

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