Applying Embedded Multi-Core Control Technologies for the Next Generation Industrial Edge Applications

In the realm of industrial edge computing, higher-configured terminal processors are gradually replacing inefficient ones. Edge computing devices encounter challenges such as replicating rapid software development and software upgrade and maintenance. In response to these issues, an edge-cloud two-tier architecture has been proposed. In the previous article, while conducting research on the edge system architecture, we contemplated on how to effectively utilize the CPU virtualization capabilities of edge devices to achieve elastic expansion of device resources. This paper will commence from the perspective of efficient utilization of multi-core CPU resources. By conducting analyses of relevant research technology cases and identifying the deficiencies in the research, our edge computing multi-core control system architecture is re-engineered. Through comparative experiments of multi-core task testing, it is concluded that the multicore processor scheduling system designed in this paper can significantly enhance the task execution efficiency of edge computing systems.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905412
Citations
1
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
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article

Applying Embedded Multi-Core Control Technologies for the Next Generation Industrial Edge Applications

Xinkai Zhang, Wenbin Dai, Shang Gao, Bo Yu
1 citations
Real-time simulation and control systems
0.33
article

Applying Embedded Multi-Core Control Technologies for the Next Generation Industrial Edge Applications

Xinkai Zhang, Wenbin Dai, Shang Gao, Bo Yu
article en
1 citations

Abstract

In the realm of industrial edge computing, higher-configured terminal processors are gradually replacing inefficient ones. Edge computing devices encounter challenges such as replicating rapid software development and software upgrade and maintenance. In response to these issues, an edge-cloud two-tier architecture has been proposed. In the previous article, while conducting research on the edge system architecture, we contemplated on how to effectively utilize the CPU virtualization capabilities of edge devices to achieve elastic expansion of device resources. This paper will commence from the perspective of efficient utilization of multi-core CPU resources. By conducting analyses of relevant research technology cases and identifying the deficiencies in the research, our edge computing multi-core control system architecture is re-engineered. Through comparative experiments of multi-core task testing, it is concluded that the multicore processor scheduling system designed in this paper can significantly enhance the task execution efficiency of edge computing systems.

Shanghai Jiao Tong University (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Real-time simulation and control systems
0.33
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