Accueil Technologie Système de stockage distribué

Système de stockage distribué



introduction

Distributedstoragesystem istostoredatainmultipleindependentdevices.Thetraditionalnetworkstoragesystemusesacentralizedstorageservertostorealldata.Thestorageserverbecomesthebottleneckofsystemperformanceandthefocusofreliabilityandsecurity, whichcannotmeettheneedsoflarge-scalestorageapplications.Thedistributednetworkstoragesystemadoptsanexpandablesystemstructure, usesmultiplestorageserverstosharethestorageload, anduseslocationserverstolocatestorageinformation.Itnotonlyimprovesthereliability, disponibilité, andaccessefficiencyofthesystem, itisalsoeasytoexpand.

Technologie de clé

Gestion des métadonnées

Inthebigdataenvironment, thevolumeofmetadataisalsoverylarge.Theaccessperformanceisthekeytotheperformanceoftheentiredistributedfilesystem.Commonmetadatamanagementcanbedividedintocentralizedanddistributedmetadatamanagementarchitectures.Thecentralizedmetadatamanagementarchitectureusesasinglemetadataserver, whichissimpletoimplement.Butthereareproblemssuchassinglepointoffailure.Thedistributedmetadatamanagementarchitecturedispersesmetadataonmultiplenodes.Furthermore, theperformancebottleneckofthemetadataserverissolved.Italsoimprovesthescalabilityofthemetadatamanagementarchitecture, buttheimplementationismorecomplicatedandtheproblemofmetadataconsistencyisintroduced.Inaddition, thereisadistributedarchitecturewithoutametadataserver, whichorganizesdatathroughonlinealgorithmsanddoesnotrequireadedicatedmetadataserver.Butthisarchitectureisverydifficulttoguaranteedataconsistency.Theimplementationismorecomplicated.Thefiledirectorytraversaloperationisinefficientandlacksthefilesystemglobalmonitoringandmanage fonction mentale.

SystèmeElasticexpansionTechnologie

Inthebigdataenvironment, thedatascaleandcomplexityincreaseveryrapidly, whichrequireshighsystemexpansionperformance..Torealizethehighscalabilityofthestoragesystem, twoimportantissuesmustbesolvedfirst, includingthedistributionofmetadataandthetransparentmigrationofdata.Thedistributionofmetadataismainlyrealizedthroughstaticsubtreepartitioningtechnology, thelatterfocusesontheoptimizationofdatamigrationalgorithms.Inaddition, thebigdatastoragesystemishuge.Thenodefailurerateishigh, socertainadaptivemanagementfunctionsneedtobecompleted.Thesystemmustbeabletoestimatethenumberofnodesrequiredbasedontheamountofdataandtheworkloadofcalculations, anddynamicallymovedatabetweennodes.Toachieveloadbalancing; atthesametime.Whenanodefails, thedatamustbeabletoberestoredthroughamechanismsuchasacopy, withoutaffectingtheupper-layerapplication.

La technologie d'optimisation dans la hiérarchie de stockage

Whenbuildingastoragesystem.Itneedstobeconsideredbasedoncostandperformance.Therefore, storagesystemsusuallyusemultiplelayersofstoragedeviceswithdifferentcostperformancetoformastoragehierarchy.Thescaleofbigdataislarge, sobuildinganefficientandreasonablestoragehierarchycanreducesystemenergyconsumptionandconstructioncostswhileensuringsystemperformance, andusetheprincipleofdataaccesslocality.Thestoragehierarchycanbeoptimizedfromtwoaspects.Fromtheperspectiveofimprovingperformance, youcananalyzeapplicationcharacteristics, identifyhotdataandcacheorprefetchit, andimproveaccessperformancethroughefficientcacheprefetchalgorithmsandreasonablecachecapacityratios.Fromtheperspectiveofcostreduction, theuseofinformationlifecyclemanagementmethodstomigratecolddatawithlowaccessfrequencytolow-speedandcheapstoragedevicescangreatlyreducesystemconstructioncostsandenergyconsumptionattheexpenseofoverallsystemperformance.

La technologie d'optimisation du stockage pour les applications et les charges

Thetraditionaldatastoragemodelneedstosupportasmanyapplicationsaspossible, soitneedstohavegoodversatility.Bigdatahasthecharacteristicsoflarge échelle, highdynamics, andfastprocessing.Thegeneraldatastoragemodelisusuallynotthemodelthatcanimprovetheapplicationperformancethemost.Thebigdatastoragesystempaysmuchmoreattentiontotheperformanceofupper-layerapplicationsthanthepursuitofversatility.Tooptimizestorageforapplicationsandloadsistocoupledatastoragewithapplications.Simplifyorexpandthefunctionsofthedistributedfilesystem, customizeanddeeplyoptimizethefilesystemaccordingtospecificapplications, specificloads, andspecificcomputingmodels, sothatapplicationscanachievethebestperformance.ThistypeofoptimizationtechnologymanageslargedataexceedingpetabytesontheinternalstoragesystemsofInternetcompaniessuchasGoogleandFacebook, andcanachieveveryhighperformance.

Facteurs à considérer

Cohérence

Thedistributedstoragesystemneedstousemultipleserverstostoredatatogether.Asthenumberofserversincreases, theserverfails.Theprobabilityisalsoincreasing.Inordertoensurethatthesystemisstillavailableintheeventofaserverfailure.Thegeneralpracticeistodivideapieceofdataintomultiplepiecesandstorethemindifferentservers.However, duetotheexistenceoffailuresandparallelstorage, theremaybeinconsistenciesbetweenmultiplecopiesofthesamedata.Thenatureofensuringthatthedataofmultiplecopiesiscompletelyconsistentisreferredtohereasconsistency.

Disponibilité

Un système de stockage distribué nécessite plusieurs serveurs pour fonctionner en même temps. Lorsque le nombre de serveurs augmente, il est inévitable que certains d'entre eux tombent en panne. Espérons que cette situation n'aura pas trop d'impact sur l'ensemble du système.

Tolérance aux pannes de partition

Plusieurs serveurs du système de stockage distribué sont connectés via le réseau. Cependant, nous ne pouvons garantir que le réseau est toujours dégagé.

Cet article provient du réseau, ne représente pas la position de cette station. Veuillez indiquer l'origine de la réimpression
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