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Cloud-Native Workload Orchestration at the Edge: A Deployment Review and Future Directions.
Rafael Vaño1, Ignacio Lacalle1, Piotr Sowiński2,3
1Communications Department, Universitat Politècnica de València, 46022 Valencia, Spain.
Cloud-native technologies like containerization and orchestration are vital for edge computing. This review details current methods and tools for adapting cloud technologies to the edge, highlighting future directions.
Area of Science:
- Computer Science
- Distributed Systems
- Edge Computing
Background:
- Cloud-native computing principles, including virtualization and orchestration, are foundational for edge computing.
- Challenges in containerization, operational models, and tool availability necessitate a comprehensive review.
Purpose of the Study:
- To review practical methods and tools for cloud-native edge computing.
- To expose future directions in adapting cloud technologies to the edge.
Main Methods:
- Literature review of practical methods and tools.
- Analysis of current community-led development projects.
- Examination of adaptations of containerization and orchestration for edge environments.
Main Results:
- Kubernetes orchestration and containerization are central to cloud-native edge adaptations.
- Initiatives include reduced container engines, tailored operating systems, and lightweight Kubernetes distributions (e.g., KubeEdge).
- WebAssembly modules and heterogeneous workload orchestration are emerging trends.
Conclusions:
- The adaptation of cloud-native technologies to edge computing is an active research area.
- Future work should focus on optimizing containerization, orchestration, and exploring new virtualization approaches like WebAssembly for edge environments.
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