A 3.5-tier container-based edge computing architecture

Ching Han Chen, Chao Tsu Liu

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Concomitant with the explosive growth in the number of artificial intelligence Internet of Things (AIoT) devices, a large amount of data is being constantly generated. Further, cloud computing has become increasingly popular for AIoT edge devices. However, challenges such as bandwidth limitations and connection environment constraints exist. To overcome these challenges, distributing computing resources on AIoT gateways or small cloud servers is necessary. In this study, the fog edge computing IoT (FECIoT) architecture was expanded by adding a new hardware layer. Specifically, a 3.5-tier edge computing AIoT (ECAIoT) architecture was developed based on microservices, containers, hardware artificial intelligence engine technology, and an IoT protocol. Experimental results indicate that the request-based load balancing architecture of ECAIoT results in better performance in terms of response time and processing speed. Furthermore. the architecture allows the system to scale flexibly to support different scenarios and demand loads.

Original languageEnglish
Article number107227
JournalComputers and Electrical Engineering
Volume93
DOIs
StatePublished - Jul 2021

Keywords

  • AIoT
  • Artificial intelligence
  • Container
  • Internet of Things
  • Kubernetes
  • Microservices

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