MemorAI: Energy-Efficient Last-Level Cache Memory Optimization for Virtualized RANs.
This paper investigates cache memory allocation mechanisms’ effectiveness in reducing total energy consumption.
Information
The virtualization of Radio Access Networks (vRAN) is well on its way to become a reality, driven by its advantages such as flexibility and cost-effectiveness. However, virtualization comes at a high price — virtual Base Stations (vBSs) sharing the same computing platform incur a significant computing overhead due to in extremis consumption of shared cache memory resources. Consequently, vRAN suffers from increased energy consumption, which fuels the already high operational costs in 5G networks. This paper investigates cache memory allocation mechanisms' effectiveness in reducing total energy consumption.
https://ieeexplore.ieee.org/document/10624821
Author/Speaker/Contributor
Ethan Sanchez, J. Xavier Salvat, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xi Li, and Xavier Costa-Perez
Event/Publication
IEEE
Date
15 August 2024