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실행 엔진마다 재실행·비결정성·외부 부작용 처리가 달라 복구 로직이 중복된다.

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Canonical title: ExoFlow: A Universal Workflow System for Exactly-Once DAGs
Question: 다양한 워크플로 DAG에 exactly-once 복구를 범용적으로 제공할 수 있는가?
Context: 실행 엔진마다 재실행·비결정성·외부 부작용 처리가 달라 복구 로직이 중복된다.
Method: 실행과 exactly-once 복구 계층을 분리하고 task reference·annotation으로 비결정성을 표시한다.
Evaluation: workloads=ETL; stateful serverless workflows; baselines=specialized workflow systems; metrics=recovery correctness; performance; results=Abstract verifies broad support but provides no aggregate numeric result.
Interpretation: 복구 의미론을 실행 엔진 밖의 공통 계층으로 만들면 범용성과 성능을 함께 조정할 수 있다.
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Applicability: ETL, ML 파이프라인, stateful serverless DAG.
Limits: annotation 정확성과 외부 부작용의 멱등성·커밋 가정에 의존한다.</property:Evidence_note>
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Canonical title: ExoFlow: A Universal Workflow System for Exactly-Once DAGs
Question: 다양한 워크플로 DAG에 exactly-once 복구를 범용적으로 제공할 수 있는가?
Context: 실행 엔진마다 재실행·비결정성·외부 부작용 처리가 달라 복구 로직이 중복된다.
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Evaluation: workloads=ETL; stateful serverless workflows; baselines=specialized workflow systems; metrics=recovery correctness; performance; results=Abstract verifies broad support but provides no aggregate numeric result.
Interpretation: 복구 의미론을 실행 엔진 밖의 공통 계층으로 만들면 범용성과 성능을 함께 조정할 수 있다.
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Applicability: ETL, ML 파이프라인, stateful serverless DAG.
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