Research Article
Open access
Published on 22 February 2024
Download pdf
Wang,Z.;Xu,L.;Yang,R. (2024). Exploring data storage innovations: From DNA to holography. Applied and Computational Engineering,41,106-111.
Export citation

Exploring data storage innovations: From DNA to holography

Zhiheng Wang 1, Liheng Xu 2, Runkun Yang *,3,
  • 1 Shanghai united international school (jiaoke) campus
  • 2 Guanghua Cambridge International School
  • 3 Pennon Education Group

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/41/20230718

Abstract

This paper delves into the evolution of data storage technologies, focusing on the solid-state drive (SSD) and hard disk drive (HDD) and their working principles. It explores the advancements in DNA as a storage medium, highlighting its exceptional data density and potential as a long-term storage solution. The paper discusses the challenges and limitations of DNA data storage, emphasizing the need for further research to overcome these hurdles. Additionally, the paper introduces holographic data storage as a novel optical storage technology and discusses its potential applications. It also touches on the decline of the optical disc industry due to the emergence of alternative storage technologies. The use of metal nanoparticles (MNPs) in optical disks is explored, emphasizing their role in high-contrast imaging and data storage. The paper concludes by highlighting the diverse methods of data storage, each with its unique advantages and drawbacks, and anticipates future improvements in electronic information processing technology, leading to faster data transmission and increased data storage capacity within the same volume of storage media.

Keywords

SSD, HDD, Data Storage Technology

[1]. Min, C., Kim, K., Cho, H., Lee, S. W., & Eom, Y. I. (2012, February). SFS: random write considered harmful in solid state drives. In FAST (Vol. 12, pp. 1-16). Dorman L I 1975 Variations of Galactic Cosmic Rays (Moscow: Moscow State UniversityPress) p 103

[2]. Cornwell, Michael, and Pure Storage. “Anatomy of a Solid-State Drive | Communications of the ACM.” Anatomy of a Solid-State Drive, dl.acm.org/doi/10.1145/2380656.2380672. Accessed 9 Sept. 2023. Szytula A and Leciejewicz J 1989 Handbook on the Physics and Chemistry of Rare Earths vol 12, ed K A Gschneidner Jr and L Erwin (Amsterdam: Elsevier) p 133

[3]. Martin, Matthew, and Matthew Martin. “SSD VS HDD: What Is the Difference between SSD and HDDMatthew Martin.” Guru99, 25 July 2023, www.guru99.com/ssd-vs-hdd.html.

[4]. Seo, E., Park, S. Y.,& Urgaonkar, B. (n.d.). Empirical analysis on Energy Efficiency of flash-based SSDs - Usenix. Empirical Analysis on Energy Efficiency of Flash-based SSDs. https://www.usenix.org/legacy/events/hotpower08/tech/full_papers/seo/seo.pdf

[5]. Solid state drive vs. hard disk drive price and Performance Study - Dell. (n.d.). https://i.dell.com/sites/csdocuments/Shared-Content_data-Sheets_Documents/en/ssd_vs_hdd_price_and_performance_study.pdf

[6]. ACS Nano 2022, 16, 11, 17552–17571 Publication Date: October 18, 2022 ttps://doi.org/10.1021/acsnano.2c06748

[7]. National Science Review, Volume 7, Issue 6, June 2020, Pages 1092–1107, https://doi.org/10.1093/nsr/nwaa007

[8]. Matange, K., Tuck, J.M. & Keung, A.J. DNA stability: a central design consideration for DNA data storage systems. Nat Commun 12, 1358 (2021). https://doi.org/10.1038/s41467-021-21587-5

[9]. Lin X, Liu J P, Hao J Y, Wang K, Zhang Y Y et al. Collinear holographic data storage technologies. Opto‐Electron Adv 3, 190004 (2020). DOI: 10.29026/oea.2020.190004

[10]. Gu, M., Zhang, Q. & Lamon, S. Nanomaterials for optical data storage. Nat Rev Mater 1, 16070 (2016). https://doi.org/10.1038/natrevmats.2016.70

Cite this article

Wang,Z.;Xu,L.;Yang,R. (2024). Exploring data storage innovations: From DNA to holography. Applied and Computational Engineering,41,106-111.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

Conference website: https://2023.confmla.org/
ISBN:978-1-83558-307-4(Print) / 978-1-83558-308-1(Online)
Conference date: 18 October 2023
Editor:Mustafa İSTANBULLU
Series: Applied and Computational Engineering
Volume number: Vol.41
ISSN:2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).