Big Data Storage using Synthetic DNA

International Journal of Computer Trends and Technology (IJCTT)          
© 2019 by IJCTT Journal
Volume-67 Issue-4
Year of Publication : 2019
Authors : Shyna Sharma, Shruti Pathak, Taranjot Singh Kathuria, Tarun Sharma, Malvinder Singh Bali
DOI :  10.14445/22312803/IJCTT-V67I4P125


MLA Style:Shyna Sharma, Shruti Pathak, Taranjot Singh Kathuria, Tarun Sharma, Malvinder Singh Bali"Big Data Storage using Synthetic DNA" International Journal of Computer Trends and Technology 67.4 (2019): 128-130.

APA Style:Shyna Sharma, Shruti Pathak, Taranjot Singh Kathuria, Tarun Sharma, Malvinder Singh Bali (2019). Big Data Storage using Synthetic DNA International Journal of Computer Trends and Technology, 67(4), 128-130.

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.

[1] Skourletopoulos, G., Mavromoustakis, C.X., Mastorakis, G., Batalla, J.M., Dobre, C., Panagiotakis, S. and Pallis, E., 2017. Big data and cloud computing: a survey of the state-of-the-art and research challenges. In Advances in mobile cloud computing and big data in the 5G Era (pp. 23-41). Springer, Cham.
[2] Mukherjee, S. and Shaw, R., 2016. Big data–concepts, applications, challenges and future scope. International Journal of Advanced Research in Computer and Communication Engineering, 5(2), pp.66-74.
[3] Church, G.M., Gao, Y. and Kosuri, S., 2012. Next-generation digital information storage in DNA. Science, 337(6102), pp.1628-1628.
[4] Schmidt, M. and Giersch, G., 2011. DNA synthesis and security. DNA microarrays, synthesis and synthetic DNA, pp.285-300.
[5] Shah, S., Limbachiya, D. and Gupta, M.K., 2014. DNAcloud: A tool for storing big data on DNA. In 11th Annual Conference on Foundations of Nanoscience: Self-Assembled Architectures and Devices (FNANO14).
[6] Bornholt, J., Lopez, R., Carmean, D.M., Ceze, L., Seelig, G. and Strauss, K., 2016. A DNA-based archival storage system. ACM SIGARCH Computer Architecture News, 44(2), pp.637-649.
[7] Alam, J.R., Sajid, A., Talib, R. and Niaz, M., 2014. A review on the role of big data in business. International Journal of Computer Science and Mobile Computing, 3(4), pp.446-453.
[9] Khan, N., Yaqoob, I., Hashem, I.A.T., Inayat, Z., Ali, M., Kamaleldin, W., Alam, M., Shiraz, M. and Gani, A., 2014. Big data: survey, technologies, opportunities, and challenges. The Scientific World Journal, 2014.
[10] Nazir, M., 2012. Cloud computing: overview & current research challenges. IOSR journal of computer engineering, 8(1), pp.14-22.
[11] Adamuthe, A.C., Salunkhe, V.D., Patil, S.H. and Thampi, G.T., 2015. Cloud Computing–A market Perspective and Research Directions. International Journal of Information Technology and Computer Science (IJITCS), 7(10), pp.42-53.
[12] Sabarmathi, G., Chinnaiyan, R. and Ilango, V., 2016. Big data analytics research opportunities and challenges: a review. Int. J. Adv. Res. Comput. Sci. Softw. Eng, 6(10), pp.227-231.
[13] Zanoon, N., Al-Haj, A. and Khwaldeh, S.M., 2017. Cloud computing and big data is there a relation between the two: a study. Int. J. Appl. Eng. Res, 12(17), pp.6970-6982.
[14] Subashini, S. and Kavitha, V., 2011. A survey on security issues in service delivery models of cloud computing. Journal of network and computer applications, 34(1), pp.1-11.
[15] Moreno, J., Serrano, M.A., Fernandez-Medina, E. and Fernandez, E.B., 2018. Towards a Security Reference Architecture for Big Data. In DOLAP.
[16] Zhang, Q., Cheng, L. and Boutaba, R., 2010. Cloud computing: state-of-the-art and research challenges. Journal of internet services and applications, 1(1), pp.7-18.
[17] Kumar, S. and Goudar, R.H., 2012. Cloud computing-research issues, challenges, architecture, platforms and applications: a survey. International Journal of Future Computer and Communication, 1(4), p.356.
[18] Mell, P. and Grance, T., 2011. The NIST definition of cloud computing.
[19] Venkatesh, H., Perur, S.D. and Jalihal, N., 2015. A study on use of big data in cloud computing environment. Int. J. Comput. Sci. Inf. Technol.(IJCSIT), 6(3), pp.2076-2078.
[20] Terzi, D.S., Terzi, R. and Sagiroglu, S., 2015, December. A survey on security and privacy issues in big data. In 2015 10th International Conference for Internet Technology and Secured Transactions (ICITST) (pp. 202-207). IEEE.
[21] E. Bala Krishna Manash, T. Usha Rani "Cloud Computing - A Potential Area for Research". International Journal of Computer Trends and Technology (IJCTT) V25(1):10-17, July 2015. ISSN:2231-2803.
[22] K.Indira Gandhi , Sri.C.Sreedhar "Survey on Big Data: Management and Challenges". International Journal of Computer Trends and Technology (IJCTT) V20(1):33-36, Feb 2015. ISSN:2231-2803.

Big Data, Synthetic DNA, Cloud Computing