资源共享平台大数据负载均衡性控制方法

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关键词：资源共享平台；大数据；负载均衡性；帝国主义竞争算法；切片处理；差异化量化处理中图分类号：TN919.8-34；TP393 文献标识码：A 文章编号：1004-373X（2025）20-0160-05

Method of big data load balancing control for resource sharingplatform

XIN Chunhua，YAN Feng，HE Ting （DepartmentofComputer Technology，InnerMongoliaAgricultural University，Baotou O141O9，China）

Abstract：Thebigdataofresouresharingplatformhasthecharacteristicsofiversityanduncertaintyanddierenttypes ofdemands fordataarediferent.Ifthesedataarenotclassifiedandprocessedsome typesof dataprocessingtasks maybe concentratedonafewresourcenodes，whileothernodesarerelativelyidle，resultinginloadimbalance.Onthisbasis，amethod ofbigdataloadbalancingcontrolforresourcesharingplatformisproposed.Thestatelessresourcesharingplatformbigdatais slicedacording toitscharacteristicstomoreclearlydisplaythediferencesbetweendata.Theobjectivefunctionisusedtoapply thesliceddatatotequantitativeprocessingoftediferencesinplatformbigdatansuringthatachesourcenodeanproess tasksevenly.Theimperialistalgorithmisusedtooptimizebigdata，andallinitializedindividualsarereferedtoasountriesand divided ntoimperilistcountriesandcoloniesbasedonnationalpower.Theoptimalsolutionisfoundbymeansofcompetition andcooperationtodeterminetheoptimalbigdataloadbalancingcontrolschemeforresourcesharingplatform，soastobetter handledatadiversityanducertaintyandealizebigdataloadbalancingcontrolforresourcesharingplatform.Theexperimental resultsshowthatthethroughputoftheproposedmethodcanreach7OOMb/s，anditsbusinessblockingratecanremaincloseto Oin the early stage of reachinga rate of 0.40% .It indicates that this method can ensure the throughput of big data on the resource sharing platformand effectivelyreduce thebusiness blocking rate.Thecontrol efectofload balancing is good.

Keywords：resourcesharing platform；bigdata;loadbalancing;imperialistcompetitionalgorithm；slicingprocesing; differential quantitative processing

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