개요

원천: vLLM Scheduling Research, Ray Serve Architecture 날짜: 2026-05-08 지역: US 계층: L2 신뢰도: 0.85

핵심 내용

Concurrent User Inference Memory Fairness: Resource Oversubscription and Memory Swap Trade-offs

출처: vLLM Scheduling Research, Ray Serve Architecture 날짜: 2026-05-08 지역: US 계층: L2 | 깊이: detailed 신뢰도: 0.85 | 논제 정합: 0.85

핵심 지표

Fairness scheduling (preventing user starvation) requires per-user KV cache reservation = batch_size × seq_length × memory_per_token. 100 users × 8K seq = 12.8GB minimum reservation

요약

Concurrent inference scheduling must oversubscribe memory to maintain fairness (prevent long-running users from blocking short requests); oversubscription ratio 1.5-2× increases memory footprint

Vibe Coding Economy 정합성

Fairness requirements (SLA guarantees) force conservative memory reservation → oversubscription overhead 50-100% memory waste

마스터 논제 점수: 0.85

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원본: P7_US_020 | 출처 URL: https://arxiv.org/abs/2309.06180

Vibe Coding Economy 정합성

마스터 논제 점수: 0.85

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원본 ID: P7_P7_US_020