AI 中文总结
研究共享状态在多系统中的影响，通过围绕三个维度组织文献，用通用框架合成，识别反模式，为面向契约的蓝图和评估议程提供依据，将状态管理表征为运行时控制问题。
AI 中文摘要
共享状态在流、服务、检索和持续学习系统中对性能和故障行为的影响日益显著。现有研究常孤立看待访问控制、硬件感知执行、内存管理和长期更新。本综述围绕状态访问与调度、状态感知执行、状态演化与重用这三个相互关联的维度组织文献。通过通用框架合成文献，识别反复出现的反模式，为面向契约的蓝图和干扰感知评估议程提供依据，将状态管理表征为运行时控制问题。
英文摘要
Shared state increasingly shapes both performance and failure behavior in streaming, serving, retrieval, and continual-learning systems. Existing studies, however, often isolate access control, hardware-aware execution, memory management, and long-horizon updates. The review organizes this literature around three coupled dimensions: state access and scheduling, state-aware execution, and state evolution and reuse. Across these dimensions, the literature is synthesized through a common scaffold: state object, control surface, coupling path, evaluation boundary, and unresolved contract. This comparison identifies recurring anti-patterns and informs a contract-oriented blueprint and disturbance-aware evaluation agenda. Taken together, the evidence characterizes state management as a runtime control problem.
Comments53 pages, 8 figures. Submitted to ACM Computing Surveys
