CFP last date
15 May 2024
Reseach Article

Overview of Big Data in Cloud Computing Environment

by Sara Kaleem
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 39
Year of Publication: 2022
Authors: Sara Kaleem
10.5120/ijais2022451925

Sara Kaleem . Overview of Big Data in Cloud Computing Environment. International Journal of Applied Information Systems. 12, 39 ( April 2022), 6-12. DOI=10.5120/ijais2022451925

@article{ 10.5120/ijais2022451925,
author = { Sara Kaleem },
title = { Overview of Big Data in Cloud Computing Environment },
journal = { International Journal of Applied Information Systems },
issue_date = { April 2022 },
volume = { 12 },
number = { 39 },
month = { April },
year = { 2022 },
issn = { 2249-0868 },
pages = { 6-12 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number39/1125-2022451925/ },
doi = { 10.5120/ijais2022451925 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:11:25.388316+05:30
%A Sara Kaleem
%T Overview of Big Data in Cloud Computing Environment
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 39
%P 6-12
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud computing is a game-changing technology that helps organizations innovate and compete in the digital economy by lowering upfront infrastructure expenses, and democratizing access to computing and storage capacity. The cloud computing technology provides hardware, software and platforms as a service. It is the explicit solution that enters into the picture in order to process, store, and exchange a massive amount of data generated every second. This paper aims to focus on the use of cloud in big data.

References
  1. Mell, P. and Grance, T., 2011. The NIST definition of cloud computing.
  2. Liu, F., Tong, J., Mao, J., Bohn, R., Messina, J., Badger, L. and Leaf, D., 2011. NIST cloud computing reference architecture. NIST special publication, 500(2011), pp.1-28.
  3. Liang, H, et al (2018) Big Data in Health Care: Applications and Challenges. Data and Information Management; Warsaw Vol. 2, Issue 3. pp. 175-197.
  4. Logo, S., Introduction to Cloud Computing.
  5. Alam, T., 2021. Cloud Computing and its role in the Information Technology. IAIC Transactions on Sustainable Digital Innovation (ITSDI), 1, pp.108-115.
  6. Ge, C., Susilo, W., Liu, Z., Xia, J., Szalachowski, P. and Liming, F., 2020. Secure keyword search and data sharing mechanism for cloud computing. IEEE Transactions on Dependable and Secure Computing.
  7. Tripathi, A.K., Agrawal, S. and Gupta, R.D., 2018. A COMPARATIVE ANALYSIS OF CONVENTIONAL HADOOP WITH PROPOSED CLOUD ENABLED HADOOP FRAMEWORK FOR SPATIAL BIG DATA PROCESSING. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 4(5).
  8. Wang, Y.E., Kutnetsov, L., Partensky, A., Farid, J. and Quackenbush, J., 2017. WebMeV: a cloud platform for analyzing and visualizing cancer genomic data. Cancer research, 77(21), pp.e11-e14.
  9. Kokila, P.M., Saravanan, P., Jagadhesan, B. and Sharmila, R., 2016. Big Data and Cloud Computing Service Models and Nosql Deployment. International Journal of Science and Engineering Invention, 2(07), pp.192-to.
  10. Wang, X., Yang, L.T., Liu, H. and Deen, M.J., 2017. A big data-as-a-service framework: State-of-the-art and perspectives. IEEE Transactions on Big Data, 4(3), pp.325-340.
  11. Simmon, E., 2017. DRAFT-evaluation of cloud computing services based on NIST 800-145. NIST Special Publication (SP), pp.500-322.
  12. 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.
  13. Khan, S., Shakil, K.A. and Alam, M., 2017. Big data computing using cloud-based technologies, challenges and future perspectives. arXiv preprint arXiv:1712.05233.
  14. Danielsson, J., Tsog, N. and Kunnappilly, A., 2018, December. A Systematic Mapping Study on Real-Time Cloud Services. In 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion) (pp. 245-251). IEEE.
  15. Elhoseny, M., Abdelaziz, A., Salama, A.S., Riad, A.M., Muhammad, K. and Sangaiah, A.K., 2018. A hybrid model of internet of things and cloud computing to manage big data in health services applications. Future generation computer systems, 86, pp.1383-1394.
  16. Zobaed, S.M., Salehi, M.A., Zomaya, A. and Sakr, S., 2019. Big Data in the Cloud.
  17. Balachandran, B.M. and Prasad, S., 2017. Challenges and benefits of deploying big data analytics in the cloud for business intelligence. Procedia Computer Science, 112, pp.1112-1122.
  18. Riaz, S., Khan, A.H., Haroon, M., Latif, S. and Bhatti, S., 2020, August. Big data security and privacy: Current challenges and future research perspective in cloud environment. In 2020 International Conference on Information Management and Technology (ICIMTech) (pp. 977-982). IEEE.
  19. Opara-Martins, J., Sahandi, R. and Tian, F., 2016. Critical analysis of vendor lock-in and its impact on cloud computing migration: a business perspective. Journal of Cloud Computing, 5(1), pp.1-18.
Index Terms

Computer Science
Information Sciences

Keywords

Big data Cloud computing Security Privacy Services