Beyond Storage: State as a Runtime Control Problem in Parallel and Distributed Systems

📅 2026-07-18
📈 Citations: 0
✨ Influential: 0
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🤖 AI Summary
Shared state profoundly influences the performance and fault tolerance of stream processing, service-oriented, and continual learning systems, yet existing approaches often treat access control, hardware-aware execution, memory management, and long-term evolution in isolation. This work reframes state management as a runtime control problem and introduces a contract-driven blueprint centered on state objects, control planes, coupling paths, evaluation boundaries, and pending contracts. Building upon this foundation, we develop a unified analytical framework encompassing state-access scheduling, state-aware execution, and state evolution reuse. Through systematic scheduling, runtime control, and cross-layer coupling analysis, our approach identifies critical anti-patterns and advances a perturbation-aware evaluation paradigm, thereby establishing both theoretical foundations and practical design guidelines for state control in 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.
Problem

Research questions and friction points this paper is trying to address.

shared state
runtime control
parallel systems
distributed systems
state management
Innovation

Methods, ideas, or system contributions that make the work stand out.

runtime control
state management
contract-oriented design
disturbance-aware evaluation
coupling path
Shuhao Zhang
Shuhao Zhang
Professor, School of Computer Science and Technology, Huazhong University of Science and Technology
Data Stream ProcessingParallel and Distributed Computing
H
Haoran Peng
Huazhong University of Science and Technology, China
C
Chun Ho Ma
Huazhong University of Science and Technology, China
Y
Yancan Mao
ByteDance, Singapore
Y
Yufeng Du
Huazhong University of Science and Technology, China
S
Shifeng Liu
Huazhong University of Science and Technology, China
R
Ruijie Qiu
Huazhong University of Science and Technology, China
Xiaofei Liao
Xiaofei Liao
huazhong university of science and technology
p2pvirtualizationruntime optimization
Hai Jin
Hai Jin
Huazhong University of Science and Technology
Parallel and Distributed ComputingComputer ArchitectureCloud ComputingP2P