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A comprehensive review of the data replication techniques in the cloud environments: Major trends and future directions

机译：云环境中数据复制技术的全面回顾：主要趋势和未来方向

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Nowadays, in various scientific domains, large data sets are becoming an important part of shared resources. Such huge mass of data is usually stored in cloud data centers. Therefore, data replication which is generally used to manage large volumes of data in a distributed manner speeds up data access, reduces access latency and increases data availability. However, despite the importance of the data replication techniques and mechanisms in cloud environments, there has not been a comprehensive study about reviewing and analyzing its important techniques systematically. Therefore, in this paper, the comprehensive and detailed study and survey of the state of art techniques and mechanisms in this field are provided. Also, we discuss the data replication mechanisms in the cloud systems and categorize them into two main groups including static and dynamic mechanisms. Static mechanisms of data replication determine the location of replication nodes during the design phase while dynamic ones select replication nodes at the run time. Furthermore, the taxonomy and comparison of the reviewed mechanisms are presented and their main features are highlighted. Finally, the related open issues and some hints to solve the challenges are mapped out. The review indicates that some dynamic approaches allow their associated replication strategies to be adjusted at run time according to changes in user behavior and network topology. Also, they are applicable for a service-oriented environment where the number and location of the users who intend to access data often have to be determined in a highly dynamic fashion. (C) 2016 Elsevier Ltd. All rights reserved.
机译：如今，在各个科学领域，大数据集正成为共享资源的重要组成部分。如此庞大的数据量通常存储在云数据中心中。因此，通常用于以分布式方式管理大量数据的数据复制可以加快数据访问速度，减少访问延迟并提高数据可用性。但是，尽管数据复制技术和机制在云环境中很重要，但尚未进行有关系统地审查和分析其重要技术的全面研究。因此，本文提供了对该领域最先进技术和机制的全面而详细的研究和综述。此外，我们讨论了云系统中的数据复制机制，并将其分为两个主要组，包括静态和动态机制。数据复制的静态机制在设计阶段确定复制节点的位置，而动态机制在运行时选择复制节点。此外，介绍了分类和比较机制的审查，并突出了其主要特点。最后，列出了相关的公开问题和解决挑战的一些提示。审查表明，一些动态方法允许根据用户行为和网络拓扑的变化在运行时调整其关联的复制策略。而且，它们适用于面向服务的环境，在该环境中，通常必须以高度动态的方式确定打算访问数据的用户的数量和位置。 （C）2016 Elsevier Ltd.保留所有权利。

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