Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

Experimental Study of the Cloud Architecture Selection for Effective Big Data Processing

Author 1: Evgeny Nikulchev Author 2: Evgeniy Pluzhnik Author 3: Dmitry Biryukov Author 4: Oleg Lukyanchikov Author 5: Simon Payain
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 6 · Published 2015 · Cited by 8

DOI: 10.14569/IJACSA.2015.060603

Abstract

Big data dictate their requirements to the hardware and software. Simple migration to the cloud data processing, while solving the problem of increasing computational capabilities, however creates some issues: the need to ensure the safety, the need to control the quality during data transmission, the need to optimize requests. Computational cloud does not simply provide scalable resources but also requires network infrastructure, unknown routes and the number of user requests. In addition, during functioning situation can occur, in which you need to change the architecture of the application — part of the data needs to be placed in a private cloud, part in a public cloud, part stays on the client.

Keywords

How to Cite this Article

Nikulchev, E., Pluzhnik, E., Biryukov, D., Lukyanchikov, O., & Payain, S. (2015). Experimental Study of the Cloud Architecture Selection for Effective Big Data Processing. International Journal of Advanced Computer Science and Applications, 6(6). https://doi.org/10.14569/IJACSA.2015.060603

Nikulchev, Evgeny, et al.. "Experimental Study of the Cloud Architecture Selection for Effective Big Data Processing." International Journal of Advanced Computer Science and Applications, vol. 6, no. 6, 2015, https://doi.org/10.14569/IJACSA.2015.060603.

@article{Nikulchev2015,
  title     = {Experimental Study of the Cloud Architecture Selection for Effective Big Data Processing},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {6},
  number    = {6},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Evgeny Nikulchev and Evgeniy Pluzhnik and Dmitry Biryukov and Oleg Lukyanchikov and Simon Payain},
  doi       = {10.14569/IJACSA.2015.060603},
  url       = {https://doi.org/10.14569/IJACSA.2015.060603}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Call for Papers - Important Dates

Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026