Hierarchical storage coordination under HAP resource constraints

Develop coordination mechanisms for ground, UAV, HAP, satellite, and cloud storage layers that jointly satisfy payload, energy, backhaul, and data-freshness constraints in S$^2$C$^2$I-integrated HAP networks.

Background

The paper treats storage as a multi-layer data lifecycle spanning ultra-local device data, RSU and UAV caches, HAP content libraries and sensing buffers, and cloud or space-cloud archives. Because cache placement, refresh, data retention, and model storage consume limited HAP resources and interact with communication and computing, the paper identifies cross-layer coordination as the principal unresolved storage problem.

References

The main open challenge is to coordinate this hierarchy under limited payload, energy, backhaul, and freshness constraints.

— Toward S^2C^2I-Integrated High-Altitude Platforms: Architectures, Cross-Functional Design, Evaluation, and Deployment Perspectives  (2608.18587 - Luo et al., 19 Aug 2026) in Section IV, subsection “Storage and Caching Hierarchy,” Lessons Learned