2026· Euromicro Conference on Real-Time Systems· Vol 12, pp. 11:1-11:3· 0 citations· 20 references
Computer Science
TL;DR
A probabilistic schedulability analysis that exploits the statistical rarity of multiple vertices within a DAG exceeding their expected execution budgets by grouping vertices within each DAG into small clusters and bounding the probability that more than one vertex in a cluster overruns.
This paper presents an optimal approach for multi-resource systems that allow any given task to use up to two resources, including support for nested critical sections, achieved by extending analysis to multiple resources and constructing a Quadratically-Constrained Integer Program to determine critical sections.
Catherine E. Nemitz, Tanya Amert, Jonad Pulaj· Euromicro Conference on Real...· 0 citations
Centralized automotive architectures increasingly consolidate compute-intensive workloads onto heterogeneous Multi-Processor System-on-Chip (MPSoC), creating strict execution, memory, and communication constraints. This paper presents RunSoC 2.0, a customizable framework for early-stage design-space exploration of task...
D. Krüger, Lucas Mauser, Stefan Wagner· 0 citations
A retention-oriented scheduling framework for always-on arbitrary-deadline Directed Acyclic Graph workloads, consisting of two algorithms with a clear progression, and shows that, compared with a representative work-conserving baseline with automatic retention/PG, PREHS reduces static energy consumption.
Xiangzhen Xiao, Weijie Wang, Wei-Chen Liu et al.· ACM Transactions on Embedded...· 0 citations
CacheFlow is presented, a framework that formulates total CRPD as a maximum-flow problem, and an iterative max-flow formulation is described to more efficiently integrate the max-flow solving in the context of standard fixed-priority response-time analysis.
Tiancheng He, Bryan C. Ward· Euromicro Conference on Real...· 0 citations
The automated design of heterogeneous embedded systems faces a fundamental challenge: bridging the gap between stochastic latency induced by resource contention and the deterministic requirements of real-time constraints. To address this, we propose a Hybrid Stochastic-Deterministic Modeling framework for contention-aw...
Shao Deng, Shanzhu Xiao, Huamin Tao et al.· IEEE Transactions on Automat...· 0 citations
The Latency-Aware Adaptive Spotted Hyena Optimizer (LA-ASHO) is proposed, a novel metaheuristic scheduling framework grounded in the social hunting behaviour of spotted hyenas that achieves statistically significant reductions in workflow completion latency relative to established baseline schedulers such as; Min-Min,...
Igiri C. G, Ejekwu Obunezi, Ujah Alechenu Israel· Journal of Artificial Intell...· 0 citations
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