Abstract: This paper presents DIST, a novel distributed reinforcement learning-based (DRL) framework for energy-efficient and reliable task scheduling and resource allocation in fog computing, ...
Abstract: Modern distributed computing systems face significant challenges in achieving optimal resource utilization and maintaining performance stability when operating in heterogeneous cluster ...
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