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Analysis on data deduplication techniques of storage of big data in cloud

机译:云中大数据存储数据重复数据删除技术分析

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As nowadays, many devices are connected to the internet (Thing continuum), and many businesses deal with a huge amount of data, digital data growth is exponentially increased. Cloud computing is the optimal technology that provides many computing resources, especially storage for Big data. Cloud offers the best storage management to back up the big data from IoT, business, enterprise, or government. All data owners want the protection of their own data, so they encrypt the data before outsourcing data in clouds. As many users avail cloud storage, different users may outsource the same data with different encryption techniques, and it results in data duplication or data redundancy. Although cloud computing offers a huge amount of storage space, data duplication decreases the efficiency and performance of cloud storage, and also it results in poor data management and the requirement of high bandwidth. The deduplication technique is used to manage data duplication in clouds. Although there are some deduplication approaches used to avoid data redundancy, still they have lack efficiency. The main aim of this paper is to obtain sufficient knowledge and a good idea about deduplication techniques by surveying existing approaches and this work may help the researcher and practitioner for their future research in developing efficient cloud storage management techniques.
机译:如今,许多设备都连接到互联网(Thing Continuum),而许多企业处理大量数据,数字数据增长是指数增长的。云计算是提供许多计算资源的最佳技术,尤其是大数据存储。云提供最佳存储管理,以备份来自物联网,商业,企业或政府的大数据。所有数据所有者都希望保护自己的数据,因此它们在云中的覆盖数据之前加密数据。尽可能多的用户可用云存储,不同的用户可能会将具有不同加密技术的相同数据外包,并且它会导致数据复制或数据冗余。虽然云计算提供了大量的存储空间,但数据复制率降低了云存储的效率和性能,并且还导致差的数据管理和高带宽的要求。重复数据删除技术用于管理云中的数据复制。虽然有一些用于避免数据冗余的重复数据删除方法,但它们仍然缺乏效率。本文的主要目的是通过测量现有方法获得足够的知识,并对重复数据删除技术进行了良好的想法,这项工作可以帮助研究人员和从业者为开发有效的云存储管理技术的未来研究。

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