云系统中的数据复制:调查

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}
引用次数: 26

摘要

本文对云系统中的数据复制策略进行了综述。基于对现有分类的调查和回顾,我们基于以下五个维度提出了另一种复制策略分类:静态与动态、被动与主动工作负载平衡、提供商与客户中心、最优数量与复制因子的动态调整、目标函数。理想情况下,一个好的复制策略必须同时考虑多个标准:1 .减少访问时间;2 .减少带宽消耗;3 .存储资源可用性;4 .副本之间的工作负载平衡;5 .包括调整副本数量的策略放置算法。因此,选择数据复制策略是一个典型的多标准决策问题。我们提出的分类法可以作为IT经理为其组织选择数据复制策略的有用指南。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Data Replication in Cloud Systems: A Survey
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Depression, Self-Esteem, and Lifestyle Factors Among University Students in Singapore and Malaysia When Big Data Meets NFT: Challenges, Impacts, and Opportunities Do We Really Need Elderly-Friendly Integrated Care Portals?: Mind Blocks to Their Adoption and Implementation Protest Movements, Social Media, and the Role of Law Enforcement Assessing the Impact of Human Error Assessment on Organization Performance in the Software Industry
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1