云平台下监控数据缓存系统

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1、AbstractAsamaturingtechnology,cloudcomputingscaleisexponentialexpanding.Cloudplatformitselfhaslargecomponentsandthedependenciesofcomponentsarecomplicated.Alargenumberofdatarecordstheinformationofcloudplatform,whichhasbroughtalotofpressure.Forlarge-scalemonitoringdata,itisdifficulttoresolveitsexpo

2、nentialgrowthofdatastorageform,andtheaccessdelaycausedbytoomanydatainthetraditionalwayofstorage.MonitoringdatacachesysteminCloudplatformisdesignedtoresolvetheproblemmentionedabove.Itwillextractmonitoringinformationof42schoolsfromdatabasethroughthetechnologyofrequest.Andthenitwillsendinformationto

3、alocaldatabaseofstoragethroughtheforwarding.ThesystemadoptsAuto-Shardingtoavoiddelaycausedtoaccessdatabyalargeamountofdata.Whenthechunksaretoomanyinaslice,abalancerwilldistributetheaveragedataineachserver.Thesystemwillusetheindexesinordertofurtherimprovingthequeryspeed.Thismechanismwillrealizethe

4、efficientindexingoptimizationstrategythroughanalyzingthequerylogsandthecurrentdatabaseindex.Duetothefrontandthebackgroundlanguageinconsistencies,userwillobtainreal-timeinformationwiththetechnologyofthriftthatcombinewitheachotherseamlesscohesion.Functionaltestsshowthatthemonitoringdatastoragesyste

5、mcanobtaintheinformationofschools.Thesystemwillgetthedataintotheserverthroughtheshards.Inaddition,themonitoringdatastoragesystemcanputforwardefficientindexesoptimizationstrategytoadministratorbyanalyzingthequerylogandthecurrentdatabaseindex.Performancetestsshowthatmonitoringdatastoragesystemofclo

6、udplatformdoesnotcausesignificantoverhead.Anditwillimprovethespeedofaccesswithdouble.Keywords:CloudPlatform,DataCache,Auto-Sharding,Index摘要1AbstractII1绪论1.1问题的提出(1)1.2国内外研究现状(2)1.3课题背景和研究内容(6)1.4论文的组织结构(7)2监控数据缓存系统设计2.1系统概述(8)2.2系统设计思想(9)2.3系统模块设计(10)2.4工作机制及処理流程(13)2.5小结(16)3监控数据缓存系统尖键技术3.1跨域的请求

7、获取与发送机制(18)3.2基于自动分片的存储机制(22)3.3基于查询的索引优化机制(25)3.4小结(29)4系统测试4.1测试环境(30)4.2功能测试(31)4.3性能测试(37)4.4小结(38)5总结及展望致谢(41)参考文献(43)附录1攻读硕士期间参与的项目(46)1绪论简述云监控数据缓存系统的课题来源，接着介绍在云平台监控数据方面的国内外研究现状，然后介绍课题的研究背景及核心研究内容•并在最后给出本论文的组织结构及