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A Systematic Literature Review of the Data Replication Techniques in the Cloud Environments
Big Data Research ( IF 3.5 ) Pub Date : 2017-07-25 , DOI: 10.1016/j.bdr.2017.06.003
Bahareh Alami Milani , Nima Jafari Navimipour

Cloud computing has various challenges, one of them is using copied data. Data replication is an important technique for distributed mass data management. The aim of the general idea of data replication is placing replications at different places, while there are several replications of a specific file at different points. Replication is one of the most broadly studied phenomena in the distributed environments in which multiple copies of some data are stored at multiple sites where overheads of creating, maintaining and updating the replicas are important and challenging issues. Applications and architecture of distributed computing have changed drastically during last decade and so has replication protocols. Different replication protocols may be suitable for different applications. However, despite the importance of this issue, in a cloud environment as a distributed environment, this issue has not been investigated so far systematically. The data replication in the cloud environment falls into two categories of static and dynamic methods. In the static patterns, a number of created replicas is constant and fixed from the beginning. The number is either determined by the user from the beginning or the cloud environment determines such number. However, in the dynamic algorithm and considering its environment, the number is determined based on user's access algorithm. The objective of this paper is to review the data replication techniques in these two main groups systematically as well as a discussing the main features of each group.



中文翻译:

关于云环境中数据复制技术的系统文献综述

云计算面临各种挑战,其中之一就是使用复制数据。数据复制是分布式海量数据管理的一项重要技术。数据复制的一般概念的目的是将复制放置在不同的位置,而特定文件的复制则在不同的位置。在分布式环境中,复制是最广泛研究的现象之一,在该环境中,某些数据的多个副本存储在多个站点,在这些站点中,创建,维护和更新副本的开销是重要且具有挑战性的问题。在过去的十年中,分布式计算的应用程序和体系结构发生了巨大变化,复制协议也发生了巨大变化。不同的复制协议可能适用于不同的应用程序。但是,尽管这个问题很重要,在作为分布式环境的云环境中,到目前为止尚未对该问题进行系统的研究。云环境中的数据复制分为静态和动态方法两类。在静态模式中,创建的多个副本是恒定的,并且从一开始就是固定的。该数字由用户从一开始就确定,或者云环境确定该数字。然而,在动态算法中并考虑其环境,该数目是基于用户的访问算法来确定的。本文的目的是系统地回顾这两个主要组中的数据复制技术,并讨论每个组的主要功能。云环境中的数据复制分为静态和动态方法两类。在静态模式中,创建的许多副本是恒定的,并且从一开始就是固定的。该数字由用户从一开始就确定,或者云环境确定该数字。然而,在动态算法中并考虑其环境,该数目是基于用户的访问算法来确定的。本文的目的是系统地回顾这两个主要组中的数据复制技术,并讨论每个组的主要功能。云环境中的数据复制分为静态和动态方法两类。在静态模式中,创建的多个副本是恒定的,并且从一开始就是固定的。该数字由用户从一开始就确定,或者云环境确定该数字。然而,在动态算法中并考虑其环境,该数目是基于用户的访问算法来确定的。本文的目的是系统地回顾这两个主要组中的数据复制技术,并讨论每个组的主要功能。该数字由用户从一开始就确定,或者云环境确定该数字。然而,在动态算法中并考虑其环境,该数目是基于用户的访问算法来确定的。本文的目的是系统地回顾这两个主要组中的数据复制技术,并讨论每个组的主要特征。该数字由用户从一开始就确定,或者云环境确定该数字。然而,在动态算法中并考虑其环境,该数目是基于用户的访问算法来确定的。本文的目的是系统地回顾这两个主要组中的数据复制技术,并讨论每个组的主要功能。

更新日期:2017-07-25
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