5G电网数据中心多因素负载均衡算法

Sun Yanzhi, L. Yuming, Wen Quan, Fu Cheng, Jiang Liqiong
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引用次数: 0

摘要

在5g时代,数据中心作为负载数据交换的核心设施,其内部网络流量呈现爆发式增长。针对电力数据中心网络中带宽敏感业务和时延敏感业务并存的问题,提出了多因素负载均衡(MFLB)算法。该算法考虑到链路的多维统计特性,综合了跳数、路径时延、平均链路时延、最大链路时延、最大剩余带宽和最小剩余带宽这6个参数和4个维度进行路径滤波。基于mininet构建了仿真环境。通过与现有算法的比较,MFLB算法在平均吞吐量、标准化总吞吐量和链路延迟方面的性能都有显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-factor Load Balancing Algorithm for 5G Power Network Data Center
In 5g era, data center is the core facility of load data exchange, and its internal network traffic shows explosive growth. Aiming at the coexistence of bandwidth sensitive traffic and delay sensitive traffic in power data center network, this paper proposes MFLB (multiple factor load balancing) algorithm. Considering the multi-dimensional statistical characteristics of links, the algorithm integrates six parameters and four dimensions of hops, path delay, average link delay, maximum link delay, maximum residual bandwidth and minimum residual bandwidth to filter paths. The simulation environment is built based on mininet. By comparing with the existing algorithms, the performance of MFLB algorithm in average throughput, standardized total throughput and link delay is significantly improved.
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