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  • 标题:Big Data Storage using Synthetic DNA
  • 本地全文:下载
  • 作者:Shyna Sharma ; Shruti Pathak ; Taranjot Singh Kathuria
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2019
  • 卷号:67
  • 期号:4
  • 页码:128-130
  • DOI:10.14445/22312803/IJCTT-V67I4P125
  • 出版社:Seventh Sense Research Group
  • 摘要:Big data generally refers to enormous amount of data that is being created by people via various digital platforms. Through the help of analytics and big data, one can easily estimate the behaviour and area of concern of a process. However, there are a lot of issues such as cost association and storage of large data that needs to be identified and verified before one could actually implement the data. So, in this paper a model has been proposed in which only one base can be changed in DNA and rest of bases must be kept same. Moreover, instead of mapping one bit to one base pair, bits are arranged in multidimensional matrices and sets of molecules represent their locations in each matrix. This idea keeps all the important data and resources secure. Also, this method is capable enough to cater the problems like large storage, accessibility and portability wherein it also gives a brief idea about the composition ofDNA as well. Hence, synthetic DNA storage can be an effective and innovative way to eradicate the issues. Also, this storage on DNA has very promising results.
  • 关键词:Big Data; Synthetic DNA; Cloud Computing
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