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Limits: Meta 비공개 환경 중심이고 공개 재현 가능한 baseline·정량 수치가 제한적이다.</property:Applicability>
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		<property:Context rdf:datatype="http://www.w3.org/2001/XMLSchema#string">Venue: SOSP. Year: 2023.

Meta 내부 FaaS는 10만대 이상 서버에서도 평균 CPU 사용률이 66%에 머물고 locality·burst 문제가 있다.

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Canonical title: XFaaS: Hyperscale and Low Cost Serverless Functions at Meta
Question: 하루 수조 회 함수 호출을 낮은 비용과 안정적 지연으로 처리할 수 있는가?
Context: Meta 내부 FaaS는 10만대 이상 서버에서도 평균 CPU 사용률이 66%에 머물고 locality·burst 문제가 있다.
Method: locality group·warm runtime, 지연 허용 작업 이동, 전역 dispatch, downstream pacing을 결합한다.
Evaluation: workloads=Meta production: trillions of calls/day, &gt;100K servers; baselines=prior Meta FaaS architecture; metrics=CPU utilization; cost; latency; results=Production-scale deployment verified; abstract gives 66% prior average CPU utilization but no single aggregate speedup.
Interpretation: 초대형 FaaS는 단일 스케줄러보다 locality·시간 이동·흐름 제어의 계층적 조합이 필요하다.
Reusable lesson: 함수 배치뿐 아니라 downstream backpressure까지 자원 제어에 포함하라.
Applicability: 하이퍼스케일 사내 서버리스 플랫폼.
Limits: Meta 비공개 환경 중심이고 공개 재현 가능한 baseline·정량 수치가 제한적이다.</property:Evidence_note>
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Canonical title: XFaaS: Hyperscale and Low Cost Serverless Functions at Meta
Question: 하루 수조 회 함수 호출을 낮은 비용과 안정적 지연으로 처리할 수 있는가?
Context: Meta 내부 FaaS는 10만대 이상 서버에서도 평균 CPU 사용률이 66%에 머물고 locality·burst 문제가 있다.
Method: locality group·warm runtime, 지연 허용 작업 이동, 전역 dispatch, downstream pacing을 결합한다.
Evaluation: workloads=Meta production: trillions of calls/day, &gt;100K servers; baselines=prior Meta FaaS architecture; metrics=CPU utilization; cost; latency; results=Production-scale deployment verified; abstract gives 66% prior average CPU utilization but no single aggregate speedup.
Interpretation: 초대형 FaaS는 단일 스케줄러보다 locality·시간 이동·흐름 제어의 계층적 조합이 필요하다.
Reusable lesson: 함수 배치뿐 아니라 downstream backpressure까지 자원 제어에 포함하라.
Applicability: 하이퍼스케일 사내 서버리스 플랫폼.
Limits: Meta 비공개 환경 중심이고 공개 재현 가능한 baseline·정량 수치가 제한적이다.</property:Evidence_note>
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