K. Tabet, R. Mokadem, Mohamed Ridda Laouar, Sean B. Eom
{"title":"云系统中的数据复制:调查","authors":"K. Tabet, R. Mokadem, Mohamed Ridda Laouar, Sean B. Eom","doi":"10.4018/IJISSC.2017070102","DOIUrl":null,"url":null,"abstract":"This paper presents a survey of data replication strategies in cloud systems. Based on the survey and reviews of existing classifications, we propose another classification of replication strategies based on the following five dimensions: i static vs. dynamic, ii reactive vs. proactive workload balancing, iii provider vs. customer centric, iv optimal number vs. dynamic adjustment of the replica factor and v objective function. Ideally, a good replication strategy must simultaneously consider multiple criteria: i the reduction of access time, ii the reduction of the bandwidth consumption, iii the storage resource availability, iv a balanced workload between replicas and v a strategic placement algorithm including an adjusted number of replicas. Therefore, selecting a data replication strategy is a classic example of multiple criteria decision making problems. The taxonomy we present can be a useful guideline for IT managers to select the data replication strategy for their organization.","PeriodicalId":371573,"journal":{"name":"Int. J. Inf. Syst. Soc. Chang.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"Data Replication in Cloud Systems: A Survey\",\"authors\":\"K. Tabet, R. Mokadem, Mohamed Ridda Laouar, Sean B. Eom\",\"doi\":\"10.4018/IJISSC.2017070102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a survey of data replication strategies in cloud systems. Based on the survey and reviews of existing classifications, we propose another classification of replication strategies based on the following five dimensions: i static vs. dynamic, ii reactive vs. proactive workload balancing, iii provider vs. customer centric, iv optimal number vs. dynamic adjustment of the replica factor and v objective function. Ideally, a good replication strategy must simultaneously consider multiple criteria: i the reduction of access time, ii the reduction of the bandwidth consumption, iii the storage resource availability, iv a balanced workload between replicas and v a strategic placement algorithm including an adjusted number of replicas. Therefore, selecting a data replication strategy is a classic example of multiple criteria decision making problems. The taxonomy we present can be a useful guideline for IT managers to select the data replication strategy for their organization.\",\"PeriodicalId\":371573,\"journal\":{\"name\":\"Int. J. Inf. Syst. Soc. Chang.\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Inf. Syst. Soc. Chang.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJISSC.2017070102\",\"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. Inf. Syst. Soc. Chang.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJISSC.2017070102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a survey of data replication strategies in cloud systems. Based on the survey and reviews of existing classifications, we propose another classification of replication strategies based on the following five dimensions: i static vs. dynamic, ii reactive vs. proactive workload balancing, iii provider vs. customer centric, iv optimal number vs. dynamic adjustment of the replica factor and v objective function. Ideally, a good replication strategy must simultaneously consider multiple criteria: i the reduction of access time, ii the reduction of the bandwidth consumption, iii the storage resource availability, iv a balanced workload between replicas and v a strategic placement algorithm including an adjusted number of replicas. Therefore, selecting a data replication strategy is a classic example of multiple criteria decision making problems. The taxonomy we present can be a useful guideline for IT managers to select the data replication strategy for their organization.