Published April 12, 2023
| Version v.01
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Fair and Scalable Orchestration of Network and Compute Resources for Virtual Edge Services
Description
In this paper, we first show through experimental tests the correlation between a video-based application and a vRAN. Then, owing to the complex involved dynamics, we develop a scalable reinforcement learning-based framework for resource orchestration at the edge, which leverages a Pareto analysis for provable fair and efficient decisions. We validate our framework, named VERA, through a real time proof-of-concept implementation, which we also use to obtain datasets reporting real-world operational conditions and performance.
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Fair_and_Scalable_Orchestration_of_Network_and_Compute_Resources_for_Virtual_Edge_Services.pdf
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