Load Balancing and Alternative Path Selection in Self-Organized Networks: A Data Plane Approach

IF 3.4 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Access Pub Date : 2025-04-23 DOI:10.1109/ACCESS.2025.3563806

Gergely Sárközi;Péter Vörös

引用次数: 0

Abstract

This paper presents a novel load balancing algorithm tailored for deeply programmable networks, offering a decentralized approach to optimizing packet forwarding and load distribution. Unlike conventional systems reliant on centralized controllers or manual configurations, this algorithm operates entirely within the data plane, leveraging controlled flooding to dynamically discover and reroute traffic based on real-time congestion data. By detecting latency spikes indicative of congestion, switches autonomously select alternative paths to maintain optimal traffic flow. Implemented in the P4 data plane programming language, the algorithm is rigorously evaluated against existing load balancing methods for self-organized networks. The results demonstrate significant reductions in data transmission times, improved path symmetry, and enhanced scalability under various network conditions, making it a robust solution for modern, self-organized, and high-performance networks.

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自组织网络中的负载平衡和备选路径选择：一种数据平面方法

本文提出了一种针对深度可编程网络的新型负载平衡算法，提供了一种分散的方法来优化数据包转发和负载分配。与依赖于集中控制器或手动配置的传统系统不同，该算法完全在数据平面内运行，利用受控洪水来动态发现和重新路由基于实时拥堵数据的流量。通过检测表示拥塞的延迟峰值，交换机自主选择替代路径以保持最佳流量。该算法在P4数据平面编程语言中实现，并与现有的自组织网络负载平衡方法进行了严格的评估。结果表明，在各种网络条件下，显著减少了数据传输时间，改进了路径对称性，增强了可伸缩性，使其成为现代、自组织和高性能网络的健壮解决方案。

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

IEEE Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

9.80

自引率

7.70%

发文量

6673

审稿时长

6 weeks

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