A Survey of Timing Variability in Microservice-Based Software-Defined Vehicles
arXiv 2608.23649•277e966d951d519e093ec0b457ba94c97c0b1eebccf054d0b2a930b7f4eede68
AI-inferenceByzantine-fault-toleranceGPU-computingHPCcloud-computingcompressionconsensusdistributed-systemsinformation-dispersalmachine-learningmicroservicesreplicationresearchsatellite-networkssoftware-defined-vehicles
Paper metadata
- arXiv ID
- 2608.23649
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
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Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- 277e966d951d519e093ec0b457ba94c97c0b1eebccf054d0b2a930b7f4eede68
- Enrichment time
- 2026-08-26T08:52:14Z
- AI-assisted enrichment
- Yes
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