Energy efficiency support for software defined networks: a serverless computing approach

Automatic network management strategies have become paramount for meeting the needs of innovative real-time and data-intensive applications, such as those in the Internet of Things. However, the ever-growing and fluctuating demands for data and services in such applications require more than ever an efficient, scalable, and energy-aware network resource management. To address these challenges, this paper introduces a novel approach that leverages a modular architecture based on serverless functions within an energy-aware environment. By deploying SDN services as Functions as a Service (FaaS), the proposed approach enables dynamic, on-demand network function deployment, achieving significant cost and energy savings through fine-grained resource provisioning. Unlike previous monolithic SDN approaches, this work disaggregates SDN control plane into modular, serverless components, transforming tightly integrated functionalities into independent, on-demand services while ensuring performance, scalability, and energy efficiency. An analytical model is presented to approximate the service delivery time and power consumption, as well as an open source prototype implementation supported by an extensive experimental evaluation. Experimental results demonstrate significant improvement in energy efficiency compared to traditional approaches, highlighting the potential of this approach for sustainable network environments.

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Publication Details

Journal
Future Generation Computer Systems
Published
2025-09-09
DOI
https://doi.org/10.1016/j.future.2025.108121
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Energy efficiency support for software defined networks: a serverless computing approach

Abdulaziz Alhindi, Karim Djemame, Fatemeh Banaie, Vasilios Kelefouras
2 links
Future Generation Computer Systems
Cloud Computing and Resource Management
article

Energy efficiency support for software defined networks: a serverless computing approach

Abdulaziz Alhindi, Karim Djemame, Fatemeh Banaie, Vasilios Kelefouras
article en

Abstract

Automatic network management strategies have become paramount for meeting the needs of innovative real-time and data-intensive applications, such as those in the Internet of Things. However, the ever-growing and fluctuating demands for data and services in such applications require more than ever an efficient, scalable, and energy-aware network resource management. To address these challenges, this paper introduces a novel approach that leverages a modular architecture based on serverless functions within an energy-aware environment. By deploying SDN services as Functions as a Service (FaaS), the proposed approach enables dynamic, on-demand network function deployment, achieving significant cost and energy savings through fine-grained resource provisioning. Unlike previous monolithic SDN approaches, this work disaggregates SDN control plane into modular, serverless components, transforming tightly integrated functionalities into independent, on-demand services while ensuring performance, scalability, and energy efficiency. An analytical model is presented to approximate the service delivery time and power consumption, as well as an open source prototype implementation supported by an extensive experimental evaluation. Experimental results demonstrate significant improvement in energy efficiency compared to traditional approaches, highlighting the potential of this approach for sustainable network environments.

Future Generation Computer SystemsVol. 176
University of Leeds (GB), University of Huddersfield (GB), Qassim University (SA), University of Plymouth (GB)
Openalex Percentile: Top 64%
Cloud Computing and Resource Management
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