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A preemptive scheduling method for heterogeneous multi-core processors based on multi-agent reinforcement learning

PendingCN122086566AStrong heterogeneous perceptiondifferentiate decision benefitsProgram initiation/switchingBiological modelsScheduling (computing)Distributed computing
This invention relates to a preemptive scheduling method for heterogeneous multi-core processors based on multi-agent reinforcement learning. It includes: constructing a system model comprising a set of sporadic real-time tasks and a heterogeneous multi-core platform; pre-setting fixed preemption points for tasks; dividing task execution into non-preemptive segments; modeling the scheduling problem as a partially observable Markov decision process; designing state representations that include task dynamic attributes and platform heterogeneity characteristics; wherein the task dynamic attributes are normalized values ​​of relative deadline pressure, execution progress ratio, and relaxation; and the platform heterogeneity characteristics include a weighted sum of core computing power level and global idle computing power; clustering processors according to computing power; assigning independent agents to each cluster; and adopting a fully cooperative mode to share global rewards; employing a centralized training and distributed execution framework; using the discrete soft actor-critic algorithm during training; with each agent's policy network collaboratively optimizing under the guidance of a centralized value function; and during execution, each agent independently deciding on preemption timing based on local observations. This invention achieves cooperative preemptive scheduling among heterogeneous cores through multi-agent reinforcement learning, effectively reducing task overdue rates and system overhead, and improving real-time performance.
Owner:SHANXI UNIV

Slope anti-seismic structure for enhancing stability of deep-layer sliding body by manually arranging shallow-layer controllable sliding body and construction method

The invention discloses a side slope anti-seismic measure and a design method which ensure that an artificial shallow layer sliding surface slides firstly and enhance the stability of a deep layer sliding body when a great earthquake occurs by manually arranging a shallow layer controllable sliding body. According to the method, a planar shallow sliding surface is artificially preset, a weak interface material is laid, and a buffer platform is arranged, so that an artificial shallow sliding body has a controllable sliding trend under the action of an earthquake. Under the action of an earthquake, when the artificial shallow sliding body slides along the artificial preset sliding surface, the transmission of the upper earthquake inertia force to the deep sliding body can be effectively blocked, so that the earthquake gliding force on the deep sliding surface is obviously reduced. According to the mechanical transmission mechanism, the critical condition of sliding of the deep sliding body under the action of an earthquake is obviously improved, and the overall stability of the side slope under the action of a strong earthquake is enhanced.
Owner:HOHAI UNIV