Authors:
Asad Usmani
and
Lena Wiese
Affiliation:
Institute of Informatics, Goethe University, Bockenheim Campus, Frankfurt, Germany
Keyword(s):
Dna Storage, Big Data Archives, Data Management, Data Modelling, Data Compression, Simple Graph.
Abstract:
The global demand for massive data archival with a yearly exponential growth rate is near to outpacing the capability of the conventional world storage media. Fortunately, DNA (Deoxyribonucleic acid) storage has made a substantial breakthrough for archiving such vast data for a long time. Though many scientists have made remarkable efforts to use DNA storage as a promising emergent solution for archiving raw data, not anyone has exploited it to store graph-aware encoded data. Desirably, the exploitation of graph-aware data archiving has notable advantages over raw data. That supports data portability and significantly reduces the concerned data size for DNA storage in terms of nucleotides. Hence, it benefits us in database operational cost reduction. We present a theoretical model for efficient DNA storage of simple graph-based scientific data. Furthermore, some simple graph-based datasets, particularly from the biological domain, have been used for experimental results and analysis.
That revealed a compression ratio between 1.18 to 1.53.
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