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Research on Lightweight Microservice Composition Technology in Cloud-Edge Device Scenarios.
Hanqi Li1, Xianhui Liu1, Weidong Zhao1
1School of Electronics and Information Engineering, Tongji University, Shanghai 200092, China.
Sensors (Basel, Switzerland)
|July 14, 2023
Summary
This study introduces a lightweight workflow architecture for the industrial Internet, optimizing cloud-edge integration. It enhances digital transformation for small and medium-sized enterprises by improving resource utilization and data flow.
Area of Science:
- Computer Science
- Software Engineering
- Distributed Systems
Background:
- Cloud-native technology and microservices are increasingly adopted by internet companies.
- Industrial Internet construction and digital transformation for SMEs face challenges like resource integration and complex workflows.
- Traditional workflow architectures are resource-intensive and unsuitable for edge computing environments.
Purpose of the Study:
- To propose a lightweight and efficient workflow architecture for cloud-edge scenarios.
- To address the limitations of traditional workflows in resource-constrained environments.
- To optimize digital transformation processes for small and medium-sized enterprises.
Main Methods:
- Developed a novel workflow architecture combining a lightweight workflow engine with a Kubernetes Operator.
- Focused on integrating cloud microservices with edge devices.
- Designed for resource-limited edge computing scenarios.
Main Results:
- Significantly reduced workflow execution time.
- Achieved unified data flow between cloud microservices and edge devices.
- Demonstrated suitability for resource-limited edge environments.
Conclusions:
- The proposed cloud-edge workflow architecture offers a lightweight and efficient solution.
- It effectively overcomes the limitations of traditional workflows in industrial Internet contexts.
- Enables smoother digital transformation for SMEs by enhancing resource integration and data management.
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