Storage device performance prediction with CART models(8)

时间:2025-07-10

Storage device performance prediction is a key element of self-managed storage systems and application planning tasks, such as data assignment. This work explores the application of a machine learning tool, CART models, to storage device modeling. Our appr

Figure3:TwotypesofCART-baseddevicemodels.

2.Ricanbecalculatedfromrj,ji.Thisconstraintsimpli estherequestdescription.Inmostcases,theresponsetimeofacurrentrequestdependsonlyonpreviousrequestsandtherequestitself.

OurrequestdescriptionRiforrequestricontainsthefollowingvariables:

Ri

TimeDiffi1

TimeDiffik

LBNi

LBNDiffi1

LBNDiffil

Sizei

RWi

Seqi

whereTimeDiffikArrivalTimeiArrivalTimei2k1andLBNDiffilLBNiLBNil.The rstthreegroupsoffeaturescapturethreecomponentsoftheresponsetime,andSeqiindicateswhethertherequestisasequentialaccess.The rstk1featuresmeasurethetemporalburstinessoftheworkloadwhenriarrives,andsupportpredictionofthequeuingtime.WeallowtheTimeDifffeaturestoexponentiallygrowthedistancefromthecurrentrequesttohistoryrequesttoaccommodatelargebursts.Thenextl1featuresmeasurethespatiallocality,supportingpredictionoftheseektimeoftherequest.SizeiandRWisupportpredictionofthedatatransfertime.

Thetwoparameters,kandl,determinehowfarwelookbackforrequestburstsandlocality.Smallvaluesdonotadequatelycapturethesecharacteristics,rgevalues,ontheotherhand,leadstoahigherdimensionality,meaningtheneedforalargertrainingsetandalongertrainingtime.Theoptimalvaluesfortheseparametersarehighlydevicespeci c,andSection5.1showshowweselecttheparametervaluesinourexperiments.

4.3Workload-LevelDeviceModels

Theworkload-levelmodelrepresentstheentireworkloadasasingleworkloaddescriptionandpredictsaggregatedeviceperformancedirectly.TheworkloaddescriptionWcontainsthefollowingfeatures.

W

Averagearrivalrate

Readratio

Averagerequestsize

Percentageofsequentialrequests

Temporalandspatialburstiness

Correlationsbetweenpairsofattributes

Storage device performance prediction with CART models(8).doc 将本文的Word文档下载到电脑

精彩图片

热门精选

大家正在看

× 游客快捷下载通道(下载后可以自由复制和排版)

限时特价:7 元/份 原价:20元

支付方式:

开通VIP包月会员 特价:29元/月

注:下载文档有可能“只有目录或者内容不全”等情况,请下载之前注意辨别,如果您已付费且无法下载或内容有问题,请联系我们协助你处理。
微信:fanwen365 QQ:370150219