L. Hariharan, M. Kumarasamy College of Engineering, Karur, Tamilnadu, India.
G. Gurumoorthy, Shree Venkateshvara Hi-Tech Engineering College, Gobi, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.04.02
International Journal of Advanced Information and Communication Technology
Received On : August 12, 2015
Revised On : September 21, 2015
Accepted On : October 15, 2015
Published On : November 05, 2015
Volume 02, Issue 11
Pages : 391-396
Abstract
Big Data is huge data sets with sizes above the ability of commonly used software tools to manage, and process the data within a tolerable minimum time. We present common correlation dynamics which reduces difficulty and characterizes the features of the Big Data explosion. This DDDC model involves demand-driven aggregation of information sources, drawing out and analysis, user interest modeling, and security and seclusion considerations.
Keywords
MANET QoS, MANET Applications, Single Path Routing, Multi Path Routing, Proactive Routing Protocol, Reactive Routing Protocol, Hybrid Routing Protocol.
Cite this article
L. Hariharan, G. Gurumoorthy, “Data Driven Dynamic Correlation Technique for Complexity Reduction in Big Data” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.391-396, November 05, 2015.
Copyright
© 2015 L. Hariharan, G. Gurumoorthy. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.