Testing the Divergence Stack Memory on GPGPUs: A Modular in-Field Test Strategy
RL-ICE is proposed as an innovative scheduler that can work in such a cloud continuum by leveraging a multi-cluster and hierarchical RL to satisfy both user Quality of Experience (QoE) metrics and tenant’s costs.
Doriana Monaco, Alessio Sacco, C. Casetti et al.
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