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  • 标题:SYNTHETIC DNA AS A SOLUTION TO THE BIG DATA STORAGE PROBLEM
  • 本地全文:下载
  • 作者:MANAR SAIS ; NAJAT RAFALIA ; JAAFAR ABOUCHABAKA
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2021
  • 卷号:99
  • 期号:15
  • 语种:English
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In the last few years, we have witnessed unprecedented growth in data and gigantic amounts of data are being produced every day. By 2020, the amount of information we want to store it will be around 44 trillion gigabytes. on the one hand the data volumes continue to grow at an even higher speed, However, our traditional databases are limited in the storage and processing of this large and complex data and we do not have a reliable physical storage medium that can withstand the weather. On the other hand, the term Big Data is now the new natural resource and current analysis architectures face much greater challenges in terms of scalability, rapid ingestion, performance, processing and storage efficiency. In order to cope with these massive and exponentially increasing amounts of heterogeneous data generated more and more quickly, many researchers believe that they have found the solution to this problem, either develop and add an intelligent touch to the available technology, or have discovered solution effective in the field of chemistry, DNA for example. DNA molecules as information carriers have many strengths over traditional storage media. Its high storage density, large capacity, long term stability, potentially low maintenance costs, and other excellent features make it an ideal alternative for information storage, and it is expected to provide wide practicality in the future. In this article, we present a DNA storage technology designed to optimize the storage of huge amounts of data or what is called Big Data. We study its storage capacity for large amounts of data, its operating principle and its added value compared to available technologies.
  • 关键词:Storage;Big data;DNA;Datasets
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