面向大數(shù)據(jù)處理的計(jì)算機(jī)網(wǎng)絡(luò)負(fù)載均衡算法改進(jìn)
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doi：10.3969/J.ISSN.1672-7274.2025.06.032
中圖分類號(hào)：TP393.02 文獻(xiàn)標(biāo)志碼：A
文章編碼：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 大數(shù)據(jù)處理對(duì)計(jì)算機(jī)網(wǎng)絡(luò)負(fù)載均衡的新要求
大數(shù)據(jù)具有Volume（規(guī)模巨大）、Velocity（產(chǎn)生速度快）、Variety（類型多樣化）、Veracity（價(jià)值密度低）等典型特征，對(duì)負(fù)載均衡提出了新的挑戰(zhàn)和要求，集中體現(xiàn)在以下幾個(gè)方面：
（1）處理實(shí)時(shí)性。（剩余4351字）