云系统中的数据复制调查

Rambabu D, Govardhan A
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引用次数: 0

摘要

在分布式环境中,复制是调查最多的现象。复制是一种在不同位置存储同一数据的多个副本的方式。无论何时需要数据,都会从最近的可访问副本中获取,从而避免延迟并提高系统性能。要管理云中的副本放置策略,必须应对三个关键挑战。这些挑战包括确定复制的最佳时间、复制的文件类型以及存储复制的最佳位置。本调查对发表的 65 篇关于云中数据复制的文章进行了回顾。文献综述研究了一系列研究出版物,并进行了详细分析。分析首先介绍了评论文章中的几种复制策略。然后对每个贡献者的性能指标进行分析。此外,本调查还对数据审计系统进行了全面检查。这项工作还确定了对云中复制处理的分析评估。此外,还对论文中使用的评估工具进行了研究。此外,调查还描述了许多研究问题和局限性,这些问题和局限性可能有助于研究人员更好地支持未来针对云中数据复制的模式挖掘工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Survey on data replication in cloud systems
In a distributed environment, replication is the most investigated phenomenon. Replication is a way of storing numerous copies of the same data at different locations. Whenever data is needed, it will be fetched from the nearest accessible copy, avoiding delays and improving system performance. To manage the replica placement strategy in the Cloud, three key challenges must be addressed. The challenges in determining the best time to make replicas were generated, the kind of files to replicate, as well as the best location to store the replicas. This survey conducts a review of 65 articles published on data replication in the cloud. The literature review examines a series of research publications and offers a detailed analysis. The analysis begins by presenting several replication strategies in the reviewing articles. Analysis of each contributor’s performance measures is conducted. Moreover, this survey offers a comprehensive examination of data auditing systems. This work also determines the analytical evaluation of replication handling in the cloud. Furthermore, the evaluation tools used in the papers are examined. Furthermore, the survey describes a lot of research issues & limitations that might help researchers support better future work on pattern mining for data replication in the cloud.
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