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Energy Efficient SDN and SDR Joint Adaptation of CPU Utilization Based on Experimental Data Analytics

2023/02/03 by Beiran Chen, Chen, Beiran, Frank Slyne +3
Computer Science · Engineering · #Advanced MIMO Systems Optimization #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Networking and Internet Architecture (cs.NI) #Software-Defined Networks and 5G #Telecommunications and Broadcasting Technologies

paper · pdf · doi:10.48550/arxiv.2302.01558

openalex publication_date 2023/02/03 · openalex created_date 2023/02/08 · openalex updated_date 2026/07/28

Abstract

In this paper we propose a hybrid softwarized architecture of Network Function Virtualization (NFV) where Software-Defined Networking (SDN) and Software-Defined Radio (SDR) components are integrated to form a cloud-based communication system. We analyze CPU utilization and power consumption in the OpenIreland testbed for different parameter settings and use case scenarios of this NFV architecture. The experiment results show different behaviour between SDN data plane switching and SDR in terms of CPU utilization and parallelization, which provides insights for processing aggregation and power savings when integrating them together in a cloud-based system. We then propose a power saving scheme with flexible CPU allocation that can reduce the overall power consumption of the system. Our results show that our proposed NFV architecture and its power saving scheme can save up to 20% power consumption compared to conventional scheme where SDN and SDR are separately deployed.

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