Development on advanced technologies – design and development of cloud computing model

Keywords: Data, big data, knowledge mining, information explosion, data management, social networks

Abstract

Big Data has been created from virtually everything around us at all times. Every digital media interaction generates data, from computer browsing and online retail to iTunes shopping and Facebook likes. This data is captured from multiple sources, with terrifying speed, volume and variety. But in order to extract substantial value from them, one must possess the optimal processing power, the appropriate analysis tools and, of course, the corresponding skills. The range of data collected by businesses today is almost unreal. According to IBM, more than 2.5 times four million data bytes generated per year, while the amount of data generated increases at such an astonishing rate that 90 % of it has been generated in just the last two years. Big Data have recently attracted substantial interest from both academics and practitioners. Big Data Analytics (BDA) is increasingly becoming a trending practice that many organizations are adopting with the purpose of constructing valuable information from BD. The analytics process, including the deployment and use of BDA tools, is seen by organizations as a tool to improve operational efficiency though it has strategic potential, drive new revenue streams and gain competitive advantages over business rivals. However, there are different types of analytic applications to consider. This paper presents a view of the BD challenges and methods to help to understand the significance of using the Big Data Technologies. This article based on a bibliographic review, on texts published in scientific journals, on relevant research dealing with the big data that have exploded in recent years, as they are increasingly linked to technology

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Author Biographies

Alexandra Briasouli, Technical University of Sofia

PhD Candidate

Department of Computer Systems and Technologies

Daniela Minkovska, Technical University of Sofia

PhD, Associate Professor

Department of Computer Systems and Technologies

Lyudmila Stoyanova, Technical University of Sofia

PhD, Associate Professor

Department of Computer Systems and Technologies

References

Sivinski, G., Okuliar, A., Kjolbye, L. (2017). Is big data a big deal? A competition law approach to big data. European Competition Journal, 13 (2-3), 199–227. doi: https://doi.org/10.1080/17441056.2017.1362866

Matturdi, B., Zhou, X., Li, S., Lin, F. (2014). Big Data security and privacy: A review. China Communications, 11 (14), 135–145. doi: https://doi.org/10.1109/cc.2014.7085614

Smith, M., Szongott, C., Henne, B., von Voigt, G. (2012). Big data privacy issues in public social media. 2012 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST). doi: https://doi.org/10.1109/dest.2012.6227909

Sahimi, M., Hamzehpour, H. (2010). Efficient Computational Strategies for Solving Global Optimization Problems. Computing in Science & Engineering, 12 (4), 74–83. doi: https://doi.org/10.1109/mcse.2010.85

Li, X., Yao, X. (2012). Cooperatively Coevolving Particle Swarms for Large Scale Optimization. IEEE Transactions on Evolutionary Computation, 16 (2), 210–224. doi: https://doi.org/10.1109/tevc.2011.2112662

Del Valle, Y., Venayagamoorthy, G. K., Mohagheghi, S., Hernandez, J.-C., Harley, R. G. (2008). Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems. IEEE Transactions on Evolutionary Computation, 12 (2), 171–195. doi: https://doi.org/10.1109/tevc.2007.896686

Yang, Z., Tang, K., Yao, X. (2008). Large scale evolutionary optimization using cooperative coevolution. Information Sciences, 178 (15), 2985–2999. doi: https://doi.org/10.1016/j.ins.2008.02.017

Yan, J., Liu, N., Yan, S., Yang, Q., Fan, W., Wei, W., Chen, Z. (2011). Trace-Oriented Feature Analysis for Large-Scale Text Data Dimension Reduction. IEEE Transactions on Knowledge and Data Engineering, 23 (7), 1103–1117. doi: https://doi.org/10.1109/tkde.2010.34

Yao, W., Chen, X., Zhao, Y., van Tooren, M. (2012). Concurrent Subspace Width Optimization Method for RBF Neural Network Modeling. IEEE Transactions on Neural Networks and Learning Systems, 23 (2), 247–259. doi: https://doi.org/10.1109/tnnls.2011.2178560

Philip Chen, C. L., Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275, 314–347. doi: https://doi.org/10.1016/j.ins.2014.01.015

Chen, M., Mao, S., Liu, Y. (2014). Big Data: A Survey. Mobile Networks and Applications, 19 (2), 171–209. doi: https://doi.org/10.1007/s11036-013-0489-0

He, Y., Yu, F. R., Zhao, N., Yin, H., Yao, H., Qiu, R. C. (2016). Big Data Analytics in Mobile Cellular Networks. IEEE Access, 4, 1985–1996. doi: https://doi.org/10.1109/access.2016.2540520

Kim, G.-H., Trimi, S., Chung, J.-H. (2014). Big-data applications in the government sector. Communications of the ACM, 57 (3), 78–85. doi: https://doi.org/10.1145/2500873

Hu, H., Wen, Y., Chua, T.-S., Li, X. (2014). Toward Scalable Systems for Big Data Analytics: A Technology Tutorial. IEEE Access, 2, 652–687. doi: https://doi.org/10.1109/access.2014.2332453

Kitchin, R., Lauriault, T. P. (2014). Small data in the era of big data. GeoJournal, 80 (4), 463–475. doi: https://doi.org/10.1007/s10708-014-9601-7

Goudarzi, M. (2019). Heterogeneous Architectures for Big Data Batch Processing in MapReduce Paradigm. IEEE Transactions on Big Data, 5 (1), 18–33. doi: https://doi.org/10.1109/tbdata.2017.2736557

Bertino, E. (2015). Big Data - Security and Privacy. 2015 IEEE International Congress on Big Data. doi: https://doi.org/10.1109/bigdatacongress.2015.126

Strang, K. D., Sun, Z. (2017). Big Data Paradigm: What is the Status of Privacy and Security? Annals of Data Science, 4 (1), 1–17. doi: https://doi.org/10.1007/s40745-016-0096-6

Dolev, S., Florissi, P., Gudes, E., Sharma, S., Singer, I. (2019). A Survey on Geographically Distributed Big-Data Processing Using MapReduce. IEEE Transactions on Big Data, 5 (1), 60–80. doi: https://doi.org/10.1109/tbdata.2017.2723473

Costa, F. F. (2014). Big data in biomedicine. Drug Discovery Today, 19 (4), 433–440. doi: https://doi.org/10.1016/j.drudis.2013.10.012

Fan, J., Han, F., Liu, H. (2014). Challenges of Big Data analysis. National Science Review, 1 (2), 293–314. doi: https://doi.org/10.1093/nsr/nwt032


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Published
2021-12-22
How to Cite
Briasouli, A., Minkovska, D., & Stoyanova, L. (2021). Development on advanced technologies – design and development of cloud computing model. Technology Transfer: Fundamental Principles and Innovative Technical Solutions, 13-16. https://doi.org/10.21303/2585-6847.2021.002228
Section
Computer Sciences