AI RESEARCH
Generative Profiling for Soft Real-Time Systems and its Applications to Resource Allocation
arXiv CS.LG
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ArXi:2604.01441v1 Announce Type: cross Modern real-time systems require accurate characterization of task timing behavior to ensure predictable performance, particularly on complex hardware architectures. Existing methods, such as worst-case execution time analysis, often fail to capture the fine-grained timing behaviors of a task under varying resource contexts (e.g., an allocation of cache, memory bandwidth, and CPU frequency), which is necessary to achieve efficient resource utilization. In this paper, we.