{"title":"云计算环境下基于任务调度的动态数据复制","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":"{\"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}","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
Dynamic Data Replication Based on Tasks scheduling for Cloud Computing Environment
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