Research on the Application of Resource Virtualization Management Soft for Spaceborne Edge Computing Node

DOI: https://doi.org/10.62517/jbdc.202401216

Author(s)

Tong Wang*, Xiao Feng, Jing Jia, Jihao Li, Songwei Xu

Affiliation(s)

The 15th Research Institute of China Electronics Technology Corporation, Beijing 100083, China *Corresponding Author.

Abstract

Due to the characteristics of multiple nodes, large load differences, and unbalanced network computing resource distribution, this paper explores efficient cloud technology for heterogeneous node resources, such as CPUs and GPUs, in spaceborne distributed edge nodes. A virtual resource pool with low overhead and real-time reconstruction is constructed to enable the unified encapsulation and management of on-orbit edge computing resources. This approach provides fine-grained supply of computing, storage, network, and other multi-dimensional resources, as well as an efficient cloud-edge collaboration mechanism. At the same time, based on the spaceborne edge AI computing platform, we carried out the application research and integration demonstration of the resource virtualization management soft of the spaceborne edge computing node. Through the design and research of the spaceborne edge computing node resource virtualization management system, the application of deployment of the system software on high-performance edge computing nodes is completed, and the ground simulation system is established to complete the design and implementation of integrated verification. In order to solve the problem of limited resource construction, this article provides a feasible technical approach for resource virtualization management of spaceborne edge nodes and cloud-edge collaboration.

Keywords

Edge Computing; AI Computing; Heterogenerous Resource Cloudification; Cloud-edge Collaboration

References

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