A Fine-Grained Stateful Data Analytics Method Based on Resilient State Table

Int. J. Softw. Sci. Comput. Intell. Pub Date : 2018-04-01 DOI:10.4018/IJSSCI.2018040105

Jike Ge, Wenbo He, Zuqin Chen, Can Liu, Jun Peng, Guorong Chen

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引用次数: 1

Abstract

Thisarticledescribeshowstatefuldataanalyticframeworkshaveemergedtoprovidefreshandlowlatencyresultsforbigdataprocessing.Atpresent,itisdesiredtoachievethefine-graineddatamodel inSparkdataprocessingframework.However,Sparkadoptscoarse-graineddatamodelinorderto facilitateparallelization,itischallengingindealingwiththefine-graineddataaccessinstatefuldata analytics.Inthispaper,theauthorsintroduceafine-grainedstatefuldatacomponent,ResilientState Table(RST),toSparkframework.Forfillingthegapbetweenthecoarse-graineddatamodelinSpark andthefine-graineddataaccessrequirementsinstatefuldataanalytics,theydevisetheprogramming model of RST which interacts with Spark’s coarse-grained memory representation seamlessly, andenableuserstoquery/updatethestateentriesinfinegranularitywithSpark-likeprogramming interfaces.Performanceevaluationexperimentsinvariousapplicationfieldsdemonstratethattheir proposedsolutionachievestheimprovementsinlatency,fault-tolerance,aswellasscalability. KeywoRDS Big Data, Resilient Distributed Dataset, Resilient State Table, Spark, Stateful Data Analytics

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基于弹性状态表的细粒度状态数据分析方法

Thisarticledescribeshowstatefuldataanalyticframeworkshaveemergedtoprovidefreshandlowlatencyresultsforbigdataprocessing。Atpresent，itisdesiredtoachievethefine-graineddatamodel inSparkdataprocessingframework。However，Sparkadoptscoarse-graineddatamodelinorderto facilitateparallelization，itischallengingindealingwiththefine-graineddataaccessinstatefuldata分析。Inthispaper，theauthorsintroduceafine-grainedstatefuldatacomponent，ResilientState表(RST)，toSparkframework。Forfillingthegapbetweenthecoarse-graineddatamodelinSpark andthefine-graineddataaccessrequirementsinstatefuldataanalytics，theydevisetheprogramming与Spark的粗粒度内存表示无缝交互的rst_模型，andenableuserstoquery/updatethestateentriesinfinegranularitywithSpark-likeprogramming接口。Performanceevaluationexperimentsinvariousapplicationfieldsdemonstratethattheir proposedsolutionachievestheimprovementsinlatency，fault-tolerance，aswellasscalability。关键词:大数据，弹性分布式数据集，弹性状态表，Spark，有状态数据分析

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Int. J. Softw. Sci. Comput. Intell.

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