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

TL;DR

This paper presents a hybrid NFV architecture integrating SDN and SDR components, analyzing CPU and power efficiency, and proposing a flexible CPU allocation scheme that reduces power consumption by up to 20%.

Contribution

It introduces a novel hybrid NFV architecture combining SDN and SDR with a power saving scheme based on experimental data analytics.

Findings

SDN and SDR exhibit different CPU utilization behaviors.

The proposed power saving scheme reduces power consumption by up to 20%.

Insights into processing aggregation and power efficiency in cloud-based communication systems.

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.