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

IF 6.2 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

Future Generation Computer Systems-The International Journal of Escience Pub Date : 2025-09-09 DOI:10.1016/j.future.2025.108121

Fatemeh Banaie , Karim Djemame , Abdulaziz Alhindi , Vasilios Kelefouras

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引用次数: 0

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.

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软件定义网络的能源效率支持：无服务器计算方法

自动化网络管理策略对于满足创新的实时和数据密集型应用（如物联网）的需求至关重要。然而，此类应用程序中对数据和服务的需求不断增长和波动，比以往任何时候都更需要高效、可扩展和节能的网络资源管理。为了应对这些挑战，本文介绍了一种新颖的方法，该方法在能源感知环境中利用基于无服务器功能的模块化架构。通过将SDN服务作为功能即服务（FaaS）部署，所提出的方法支持动态的、按需的网络功能部署，通过细粒度的资源配置实现显著的成本和能源节约。与以前的单片SDN方法不同，这项工作将SDN控制平面分解为模块化的无服务器组件，将紧密集成的功能转换为独立的按需服务，同时确保性能、可扩展性和能源效率。提出了一个近似服务交付时间和功耗的分析模型，并通过广泛的实验评估提供了一个开源原型实现。实验结果表明，与传统方法相比，该方法在能源效率方面有显著提高，突出了该方法在可持续网络环境中的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Future Generation Computer Systems-The International Journal of Escience 工程技术-计算机：理论方法

CiteScore

19.90

自引率

2.70%

发文量

376

审稿时长

10.6 months

期刊介绍： Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.