Paper Detail
Shuhao Zhang, Haoran Peng, Chun Ho Ma, Yancan Mao, Yufeng Du, Shifeng Liu, Ruijie Qiu, Xiaofei Liao, Hai Jin
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.
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@article{zhang2026beyond,
title = {Beyond Storage: State as a Runtime Control Problem in Parallel and Distributed Systems},
author = {Shuhao Zhang and Haoran Peng and Chun Ho Ma and Yancan Mao and Yufeng Du and Shifeng Liu and Ruijie Qiu and Xiaofei Liao and Hai Jin},
year = {2026},
abstract = {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: },
url = {https://arxiv.org/abs/2607.16836},
keywords = {cs.DC, cs.DB},
eprint = {2607.16836},
archiveprefix = {arXiv},
}
{}