基于非平衡數(shù)據(jù)的深度再分片算法

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中圖分類號(hào)：TP309.2；TP393 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：2096-4706（2025）07-0114-06

Abstract： With the popularization of blockchain technology，the surge intransaction volume poses chalenges to network performance.Traditional segmentation methods based on account transactions perform poorly when dealing with unbalanced data，which leads to an increase incross-segmentation transactionsand affects performance.Inresponse tothis situation， aDeep TraversalRe-segmentationAlgorithmbasedon transaction frequencyis proposed.Thisalgorithmreduces crosssegmentationtransactionsthroughinitialsegmentationandtenconductsdep traversalre-segmentationonthesegmentation withdense transactionstosolvetheproblemofdataimbalance.Bycalculating thetransaction frequencyofaccounts，itensures load balancingandattempts to allcate accounts with frequent transactions to the same segmentationas much as possible. Experimentalresultsshowthatthisalgorithmcanefectivelybalancetheloadreducecro-segmentationtransactions，and improve network throughput and efficiency.

Keywords： blockchain technology; Deep Traversal Re-segmentation Algorithm; transaction frequency; crosssegmentation transaction

0 引言

區(qū)塊鏈技術(shù)源自中本聰于2008年提出的比特幣系統(tǒng)，區(qū)塊鏈技術(shù)自誕生以來(lái)，以其去中心化、安全性高、數(shù)據(jù)不可篡改等特點(diǎn)，被廣泛應(yīng)用于金融、供應(yīng)鏈、物聯(lián)網(wǎng)等多個(gè)領(lǐng)域。（剩余7592字）