基于DNA计算的大数据存储研究综述

Hanadi Hakami, Z. Chaczko, Anup Kale
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引用次数: 10

摘要

在最近十年中,有必要显著减少可能保存的信息。精致的高级版硬纸副本从两个方面提高了索赔数据管理的有效性,同时也改善了信息入口的分布。在工程DNA上,这可能是一个观察数据容量可能性的最新改进的机会。同样地,我们已经明白了飞跃式的工程是如何通过我们的信息能力极大地改变我们的生活方式的。本主题“基于DNA的大数据存储”描述了从最初的研究到最新的研究,它们的优缺点,它们的技术以及未来将如何成为实践。我们还提出了一种将数据存储到DNA中的简单方法。通过实验验证了所提方法的有效性,结果清楚地显示了所提方法的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of Big Data Storage Based on DNA Computing
There is a need of noteworthy scaling down in the information approached may be saved in the most recent decade. Delicate and advanced version hard paper duplicate which helps in two ways that they increased the effectiveness from claiming data management but also improved the distribution of entrance of information. On engineered DNA, it may be a chance to view the late improvement on the possibility about data capacity. Similarly in this way we have figured out how leap forward engineering could dramatically change the lifestyle out of our information capacity. This topic ' Big Data Storage based DNA' is described from the first research to newer one, their advantages and disadvantages, their techniques and how it will become a practice in the future. We also propose an approach is proposed as simple method to store data into DNA. The experiment work is done to validate the proposed approach result clearly show advantages merits of proposed method.
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