A DNA-Based Archival Storage System
| Autor: | Georg Seelig, Karin Strauss, Douglas Carmean, James Bornholt, Luis Ceze, Randolph Lopez |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Computer science DNA digital data storage Distributed computing Reliability (computer networking) Real-time computing 02 engineering and technology 01 natural sciences 03 medical and health sciences Encoding (memory) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Redundancy (engineering) Electrical and Electronic Engineering General Environmental Science 010302 applied physics Exabyte business.industry 010401 analytical chemistry 05 social sciences Archival storage 020206 networking & telecommunications General Medicine Computer Graphics and Computer-Aided Design 0104 chemical sciences 030104 developmental biology Hardware and Architecture Computer data storage General Earth and Planetary Sciences 0509 other social sciences 050904 information & library sciences business Software Random access |
| Zdroj: | ASPLOS |
| ISSN: | 0272-1732 |
| DOI: | 10.1109/mm.2017.264163456 |
| Popis: | Demand for data storage is growing exponentially, but the capacity of existing storage media is not keeping up. Using DNA to archive data is an attractive possibility because it is extremely dense, with a raw limit of 1 exabyte/mm 3 (109 GB/mm 3 ), and long-lasting, with observed half-life of over 500 years. This paper presents an architecture for a DNA-based archival storage system. It is structured as a key-value store, and leverages common biochemical techniques to provide random access. We also propose a new encoding scheme that offers controllable redundancy, trading off reliability for density. We demonstrate feasibility, random access, and robustness of the proposed encoding with wet lab experiments involving 151 kB of synthesized DNA and a 42 kB random-access subset, and simulation experiments of larger sets calibrated to the wet lab experiments. Finally, we highlight trends in biotechnology that indicate the impending practicality of DNA storage for much larger datasets. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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