Designing Dense Satellite Clusters for Distributed Space-based Datacenters

2026-05-18T08:52:19Zb1b1a6e97e50ee508f6b2ee8976e2d7bb47ee7124a26f8b0d0debfc12467dbb5
GNNGPU-accelerationLEOLLM-emulationOSDFPrismLLMSpMMautoscalingavailabilitycontainer-orchestrationdata-distributionedge-computinginter-satellite-linksnetwork-topologyneuromorphic-computingperformance-optimizationsatellite-datacentersserverlessspace-infrastructurestashcachesupply-chain

What happened

This feed aggregates recent arXiv papers (distributed systems, edge/cloud, and HPC). Notable contributions include a design for dense LEO satellite datacenter clusters that map datacenter network fabrics onto inter-satellite links (ISLs); extensions to the StashCache project into an Open Science Data Federation (OSDF) for global data distribution and caching; PrismLLM, a high-fidelity LLM training emulator that reproduces large-scale behavior using few GPUs; and several works on container autoscaling/scheduling (Scale, ADAPT), container orchestration for edge/neuromorphic workloads, and high‑/

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_dc
Record identifier
b1b1a6e97e50ee508f6b2ee8976e2d7bb47ee7124a26f8b0d0debfc12467dbb5
Enrichment time
2026-05-18T08:52:19Z
AI-assisted enrichment
Yes

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