Designing Dense Satellite Clusters for Distributed Space-based Datacenters
2026-05-18T08:52:19Z•b1b1a6e97e50ee508f6b2ee8976e2d7bb47ee7124a26f8b0d0debfc12467dbb5
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
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.