面向大数据处理的计算机网络负载均衡算法改进

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doi:10.3969/J.ISSN.1672-7274.2025.06.032

中图分类号:TP393.02 文献标志码:A

文章编码:1672-7274(2025)06-0095-03

Improvementof Computer Network Load Balancing Algorithm forBigData Processing

ZHAOZhijun

(BayingolinVocational and Technical College,Korla 841ooo,China)

Abstract: This article summarizes the characteristics and shortcomings of several commonly used load balancing algorithms,and proposes improvement strategies for load balancing algorithms for big data processng, including load balancing based on data fowcharacteristics,hybrid load balancing that integrates multiple scheduling strategies, adaptive load balancing,and load balancing algorithm improvementbased onsoftware defined networks.Simulation experiments show thatthe improved algorithm can better adapt to big data processing scenarios,achieving significant optimization in load balancing, network throughput, and processing latency.

Keywords:big data processing; load balancing;polling scheduling;self-adaption

1 大数据处理对计算机网络负载均衡的新要求

大数据具有Volume(规模巨大)、Velocity(产生速度快)、Variety(类型多样化)、Veracity(价值密度低)等典型特征,对负载均衡提出了新的挑战和要求,集中体现在以下几个方面:

(1)处理实时性。(剩余4351字)

目录
monitor