Hierarchical Server Architecture for Agentic Science
2026-08-07T08:52:11Z•15c5407ac0f53d0dbe8846aaad11b3b6aba593f0ebba7db39c7de4f1419a9711
HPCLLM-infrastructureaccess-controlcarbon-aware-computingcloud-computingdata-exfiltrationdistributed-systemseBPFfederated-learningmicroservicesmulti-hop-attacksoperational-reliabilityserverless
What happened
A collection of arXiv papers covering agentic science infrastructure, exascale reliability, serverless CPU scheduling, repository-aware OpenMP parallelization, multi-node LLM fine-tuning operations, tensor lifecycle management, carbon-aware inference routing, eBPF-based multi-hop microservice access control, and federated-learning update reuse. The security-relevant work is eMicro, which addresses multi-hop authorization bypass and data-exfiltration risks in microservice request paths using history-aware policies, DFAs, and eBPF enforcement. The remaining papers primarily concern performance,,
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- 15c5407ac0f53d0dbe8846aaad11b3b6aba593f0ebba7db39c7de4f1419a9711
- Enrichment time
- 2026-08-07T08:52:11Z
- AI-assisted enrichment
- Yes
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