Work place: MVGRCE, India
E-mail: psr.sri@gmail.com
Website:
Research Interests: Image Compression, Image Manipulation, Distributed Computing, Image Processing, Data Mining
Biography
P.Srinivasa Rao, currently working as Sr.Asst.Professor in CSE of MVGR College of Engineering. He is having Over 08 years of teaching experience. His research includes Data warehousing and Mining, Distributed Computing, Image Processing etc.
By P. Srinivasa Rao K. Thammi Reddy MHM. Krishna Prasad
DOI: https://doi.org/10.5815/ijitcs.2013.03.06, Pub. Date: 8 Feb. 2013
The massive increases in data have paved a path for distributed computing, which in turn can reduce the data processing time. Though there are various approaches in distributed computing, Hadoop is one of the most efficient among the existing ones. Hadoop consists of different elements out of which Map Reduce is a scalable tool that enables to process a huge data in parallel. We proposed a Novel and Efficient User Profile Characterization under distributed environment. In this frame work the network anomalies are detected by using Hadoop Map Reduce technique. The experimental results clearly show that the proposed technique shows better performance.
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