Beyond Storage: State as a Runtime Control Problem in Parallel and Distributed Systems
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: 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.
Cite
@article{arxiv.2607.16836,
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},
journal= {arXiv preprint arXiv:2607.16836},
year = {2026}
}
Comments
53 pages, 8 figures. Submitted to ACM Computing Surveys