CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Applications of Real-Time Big Data Analytics

by Akinul Islam Jony
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 144 - Number 5
Year of Publication: 2016
Authors: Akinul Islam Jony
10.5120/ijca2016910208

Akinul Islam Jony . Applications of Real-Time Big Data Analytics. International Journal of Computer Applications. 144, 5 ( Jun 2016), 1-5. DOI=10.5120/ijca2016910208

@article{ 10.5120/ijca2016910208,
author = { Akinul Islam Jony },
title = { Applications of Real-Time Big Data Analytics },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 144 },
number = { 5 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume144/number5/25172-2016910208/ },
doi = { 10.5120/ijca2016910208 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:46:46.446975+05:30
%A Akinul Islam Jony
%T Applications of Real-Time Big Data Analytics
%J International Journal of Computer Applications
%@ 0975-8887
%V 144
%N 5
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In recent years, time-critical processing or real-time processing and analytics of bid data have received a significant amount of attentions. There are many areas/domains where real-time processing of data and making timely decision can saves thousands of human lives, minimizing the risks of human lives and resources, enhance the quality of human lives, enhance the chance of profitability, efficient resources management etc. This paper have presented such type of real-time big data analytic applications and a classification of those applications. In addition it presents the time requirements of each type of these applications along with its significant benefits. Also, a general overview of big data to describe a background knowledge on this scope.

References
  1. Katal A., M. Wazid, and R.H. Goudar. Big data: Issues, challenges, tools and good practices. Noida, pages 404–409, Aug. 2013.
  2. C Ballard, K Foster, A Frenkiel, B Gedik, MP Koranda, S Nathan, D Rajan, R Rea, M Spicer, B Williams, and VN Zoubov. Ibm infosphere streams: Assembling continuous insight in the information revolution. [http://www.redbooks.ibm.com/abstracts/sg. pages=247970html], 2011.
  3. W. J. de Groot, J. G. Goldammer, T. Keenan, M. A. Brady, T. J. Lynham, C. O. Justice, I. A. Csiszar, and K. O’Loughlin. Developing a global early warning system for wildland fire. Forest Ecology and Management, 234(1), 2006.
  4. Y Demchenko, Z Zhao, P Grosso, AWibisono, and C de Laat. Addressing big data challenges for scientific data infrastructure. In IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom 2012), pages 614– 617, California, USA, Taipei, Taiwan, 2012. IEEE Computing Society.
  5. M. Ferreira, R. Fernandes, H. Conceio, P. Gomes, P.M. dOrey, L. Moreira-Matias, J. Gama, F. Lima, , and L. Damas. Vehicular sensing: Emergence of a massive urban scanner. Sensor Systems and Software, pages 1–14, 2012. Springer Berlin Heidelberg.
  6. Srinivasa T. Kumar. Implementation of the indian national tsunami early warning system. Fostering e-Governance: Selected Compendium of Indian Initiatives, pages 380–391, 2009.
  7. F.C.P Muhtaroglu, Demir S, Obali M, and Girgin C. Business model canvas perspective on big data applications. In IEEE International Conference on Big Data, pages 32–37, Silicon Valley, CA, Oct. 2013.
  8. Dilpreet Singh and Chandan K Reddy. A survey on platforms for big data analytics. Journal of Big Data, 1(8), 2014. [http://www.journalofbigdata.com/content/1/1/8].
  9. A Thommandram, JE Pugh, JM Eklund, C McGregor, and AG James. Classifying neonatal spells using real-time temporal analysis of physiological data streams: Algorithm development. In IEEE Point-of-Care Healthcare Technologies (PHT 2013), pages 240–243, New York, USA, Bangalore, India, 2013. IEEE.
  10. R. M. Tyburski. A review of road sensor technology for monitoring vehicle traffic. ITE (Institute of Transportation Engineers) Journal, 59(8):27–29, oct 1989.
  11. Wikipedia. Stock Market. https://en.wikipedia.org/ wiki/Stock_market. [Online; accessed 11-January-2016].
  12. Y Zhang, S Fong, J Fiaidhi, and S Mohammed. Real-time clinical decision support system with data stream mining. J Biomed Biotechnol, 2012.[http://dx.doi.org/10.1155/2012/580186].
Index Terms

Computer Science
Information Sciences

Keywords

Big Data Data Analytics Big Data Applications Real-Time Applications Real-Time Processing Stream Computing

Powered by PhDFocusTM