Towards a Scalable Architecture for Building Digital Twins at the Edge

被引：2

作者：

Alanezi, Khaled ^{[1
]}

Mishra, Shivakant ^{[2
]}

机构：

[1] PAAET, Coll Basic Educ, Dept Comp, Kuwait, Kuwait

[2] Univ Colorado, Dept Comp Sci, Boulder, CO USA

来源：

2023 IEEE/ACM SYMPOSIUM ON EDGE COMPUTING, SEC 2023 | 2023年

关键词：

Digital Twin Architecture; EdgeAI; Scalability; Complexity;

D O I：

10.1145/3583740.3626807

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents a system architecture for building digital twins at the edge. In particular, it addresses two major challenges: system scalability and complexity. It introduces two novel architectural components: a Context Aware Communication Component (CACC) that addresses the scalability issue in communication between physical and virtual environments, and second, an application-agnostic methodology, a service registry component for integrating digital twin with EdgeAI (DT-EdgeAI integration) at the edge. The paper describes this architecture in detail and provides a preliminary prototype implementation.

引用

页码：325 / 329

页数：5

共 10 条

[1]

Alanezi K., An iot architecture leveraging digital twins: Compromised node detection scenario

[2]

E. Foundation, Open source framework for digital twins., eclipse ditto

[3] A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future [J].