{"title":"Dynamic Data Replication Based on Tasks scheduling for Cloud Computing Environment","authors":"Siham Kouidri, Belabbes Yagoubi","doi":"10.4018/IJSITA.2017100104","DOIUrl":null,"url":null,"abstract":"Cloud computing provides IT resources (e.g., CPU, memory, network, storage, etc.) based on virtualizationconceptsandapay-as-you-goprinciple.Itcomprisesanaccumulationofinter-related plusvirtualizedcalculatingresourceswhicharemanagedbyoneormoreamalgamatedcalculating resources. With the development of a computerized scientific workflow, the amount of data is increasingexponentially.Workflowschedulinganddatareplicationhavebeenconsideredthemajor challengesincloudcomputing.Nevertheless,manyresearchersfocusonschedulingordatareplication separately.Inthisarticle,acombinationofworkflowschedulingbasedontheclusteringofdataand dynamicdatareplicationstrategies,hasbeenintroducedtogetherandevaluatesseveralperformance metricsusingaCloudsimsimulator.Theaimofthisproposedalgorithmistominimizethecompletion timeandtransfertime.Theperformanceofthisproposedalgorithmhasbeenevaluatedusingthe CloudSimtoolkit. KEywoRDS Cloud Computing, Clustering, Dynamic Replication, Scheduling, Scientific Workflow, Virtual Machines","PeriodicalId":201145,"journal":{"name":"Int. J. Strateg. Inf. Technol. Appl.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Strateg. Inf. Technol. Appl.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJSITA.2017100104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
云计算环境下基于任务调度的动态数据复制
云计算提供基于virtualizationconceptsandapay-as-you-goprinciple的it资源(例如,CPU,内存,网络,存储等)。Itcomprisesanaccumulationofinter-related plusvirtualizedcalculatingresourceswhicharemanagedbyoneormoreamalgamatedcalculating资源。随着计算机化科学工作流程的发展,数据量为increasingexponentially。Workflowschedulinganddatareplicationhavebeenconsideredthemajor challengesincloudcomputing。分别是Nevertheless和manyresearchersfocusonschedulingordatareplication。Inthisarticle,acombinationofworkflowschedulingbasedontheclusteringofdataand dynamicdatareplicationstrategies,hasbeenintroducedtogetherandevaluatesseveralperformance metricsusingaCloudsimsimulator。Theaimofthisproposedalgorithmistominimizethecompletion timeandtransfertime。Theperformanceofthisproposedalgorithmhasbeenevaluatedusingthe CloudSimtoolkit。关键词云计算,集群,动态复制,调度,科学工作流,虚拟机
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