Purpose

In data grids, replication has been regarded as a crucial optimization strategy. Computing tasks are performed on IoT gateways at the cloud edges to obtain a prompt response. So, investigating the data replication mechanisms in the IoT is necessary. Henceforth, a systematic survey of data replication strategies in IoT techniques is presented in this paper, and some suggestions are offered for the upcoming works. In two key classifications, various parameters dependent on the analysis of the prevalent approaches are considered. The pros and cons associated with chosen strategies have been explored, and the essential problems of them have been presented to boost the future of more effective data replication strategies. We have also discovered gaps in papers and provided solutions for them.

Design/methodology/approach

Progress in Information Technology (IT) growth has brought the Internet of Things (IoT) into life to take a vital role in our everyday lifestyles. Big IoT-generated data brings tremendous data processing challenges. One of the most challenging problems is data replication to improve fault-tolerance, reliability, and accessibility. In this way, if the primary data source fails, a replica can be swapped in immediately. There is a significant influence on the IoT created by data replication techniques, but no extensive and systematic research exists in this area. There is still no systematic and full way to address the relevant methods and evaluate them. Hence, in the present investigation, a literature review is indicated on the IoT-based data replication from papers published until 2021. Based on the given guidelines, chosen papers are reviewed. After establishing exclusion and inclusion criteria, an independent systematic search in Google Scholar, ACM, Scopus, Eric, Science Direct, Springer link, Emerald, Global ProQuest, and IEEE for relevant studies has been performed, and 21(6 paper analyzed in section 1 and 15 paper analyzed in section 3) papers have been analyzed.

Findings

The results showed that data replication mechanisms in the IoT algorithms outperform other algorithms regarding impressive network utilization, job implementation time, hit ratio, total replication number, and the portion of utilized storage in percentage. Although a few ideas have been suggested that fix different facets of IoT data management, we predict that there is still space for development and more study. Thus, in order to design innovative and more effective methods for future IoT-based structures, we explored open research directions in the domain of efficient data processing.

Research limitations/implications

The present investigation encountered some drawbacks. First of all, only certain papers published in English were included. It is evident that some papers exist on data replication processes in the IoT written in other languages, but they were not included in our research. Next, the current report has only analyzed the mined based on data replication processes and IoT keyword discovery. The methods for data replication in the IoT would not be printed with keywords specified. In this review, the papers presented in national conferences and journals are neglected. In order to achieve the highest ability, this analysis contains papers from major global academic journals.

Practical implications

To appreciate the significance and accuracy of the data often produced by different entities, the article illustrates that data provenance is essential. The results contribute to providing strong suggestions for future IoT studies. To be able to view the data, administrators have to modify novel abilities. The current analysis will deal with the speed of publications and suggest the findings of research and experience as a future path for IoT data replication decision-makers.

Social implications

In general, the rise in the knowledge degree of scientists, academics, and managers will enhance administrators' positive and consciously behavioral actions in handling IoT environments. We anticipate that the consequences of the present report could lead investigators to produce more efficient data replication methods in IoT regarding the data type and data volume.

Originality/value

This report provides a detailed literature review on data replication strategies relying on IoT. The lack of such papers increases the importance of this paper. Utilizing the responses to the study queries, data replication's primary purpose, current problems, study concepts, and processes in IoT are summarized exclusively. This approach will allow investigators to establish a more reliable IoT technique for data replication in the future. To the best of our understanding, our research is the first to provide a thorough overview and evaluation of the current solutions by categorizing them into static/dynamic replication and distributed replication subcategories. By outlining possible future study paths, we conclude the article.

中文翻译：

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物联网中的数据复制技术：系统文献综述

目的

在数据网格中，复制已被视为关键的优化策略。在云端边缘的物联网网关上执行计算任务，以获得及时的响应。因此，有必要研究物联网中的数据复制机制。此后，本文对物联网技术中的数据复制策略进行了系统的调查，并为即将开展的工作提供了一些建议。在两个关键分类中，考虑了依赖于流行方法分析的各种参数。已经探讨了与所选策略相关的利弊，并提出了它们的基本问题，以促进更有效的数据复制策略的未来。我们还发现了论文中的漏洞并为其提供了解决方案。

设计/方法/方法

信息技术 (IT) 发展的进步将物联网 (IoT) 带入了生活，并在我们的日常生活中发挥了至关重要的作用。物联网生成的大数据带来了巨大的数据处理挑战。最具挑战性的问题之一是数据复制以提高容错性、可靠性和可访问性。这样，如果主数据源出现故障，可以立即换入一个副本。数据复制技术对物联网产生了重大影响，但在这方面还没有广泛和系统的研究。目前还没有系统和完整的方法来解决和评估相关方法。因此，在本调查中，对 2021 年之前发表的论文中基于物联网的数据复制进行了文献综述。根据给定的指南，对所选论文进行了评审。

发现

结果表明，物联网算法中的数据复制机制在网络利用率、作业执行时间、命中率、总复制数量和已利用存储的百分比方面优于其他算法。尽管已经提出了一些解决物联网数据管理不同方面的想法，但我们预测仍有发展和更多研究的空间。因此，为了为未来基于物联网的结构设计创新和更有效的方法，我们探索了高效数据处理领域的开放研究方向。

研究限制/影响

目前的调查遇到了一些缺陷。首先，只收录了部分英文发表的论文。很明显，存在一些用其他语言编写的物联网数据复制过程的论文，但它们没有包含在我们的研究中。接下来，目前的报告只分析了基于数据复制过程和物联网关键字发现的挖掘。物联网中的数据复制方法不会使用指定的关键字打印。在这篇综述中，忽略了在国家会议和期刊上发表的论文。为了达到最高能力，本次分析包含来自全球主要学术期刊的论文。

实际影响

为了了解通常由不同实体生成的数据的重要性和准确性，本文说明了数据来源至关重要。结果有助于为未来的物联网研究提供强有力的建议。为了能够查看数据，管理员必须修改新的能力。当前的分析将处理出版物的速度，并建议研究结果和经验作为物联网数据复制决策者的未来路径。

社会影响

总的来说，科学家、学者和管理人员知识程度的提高将增强管理人员在处理物联网环境时积极和有意识的行为行为。我们预计本报告的结果可能会导致调查人员在物联网中产生更有效的数据复制方法，涉及数据类型和数据量。

原创性/价值

本报告提供了关于依赖物联网的数据复制策略的详细文献综述。此类论文的缺乏增加了本文的重要性。利用对研究查询的响应，专门总结了物联网中数据复制的主要目的、当前问题、研究概念和过程。这种方法将使调查人员能够在未来为数据复制建立更可靠的物联网技术。据我们所知，我们的研究是第一个通过将当前解决方案分为静态/动态复制和分布式复制子类别来提供对当前解决方案的全面概述和评估的研究。通过概述可能的未来学习路径，我们总结了这篇文章。