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Found 2 papers, 1 papers with code
Edge-MultiAI: Multi-Tenancy of Latency-Sensitive Deep Learning Applications on Edge
We propose an efficient NN model management framework, called Edge-MultiAI, that ushers the NN models of the DL applications into the edge memory such that the degree of multi-tenancy and the number of warm-starts are maximized.
FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems
The challenge is to allocate user requests for different ML applications on the Heterogeneous Edge Computing Systems (HEC) with respect to both the energy and latency constraints of these systems.
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