A Novel Approach for Identification of Hadoop Cloud Temporal Patterns Using Map Reduce

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Author(s)

P.Srinivasa Rao 1,* K.Thammi Reddy 2 MHM.Krishna Prasad 3

1. Dept.of CSE, MVGRCE, Vizianagaram, India

2. Dept.of CSE, GITAM University, Visakhapatnam, India

3. Dept.of CSE, JNTUK, Kakinda, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2014.04.04

Received: 20 Jun. 2013 / Revised: 13 Oct. 2013 / Accepted: 9 Dec. 2013 / Published: 8 Mar. 2014

Index Terms

Big Data, Hadoop, Mapreduce, Cloud Computing, Temporal Patterns

Abstract

Due to the latest developments in the area of science and Technology resulted in the developments of efficient data transfer, capability of handling huge data and the retrieval of data efficiently. Since the data that is stored is increasing voluminously, methods to retrieve relative information and security related concerns are to be addressed efficiently to secure this bulk data. Also with emerging concepts of big data, these security issues are a challenging task. This paper addresses the issue of secure data transfer using the concepts of data mining in cloud environment using hadoop mapreduce. Based on the experimentation done results are analyzed and represented with respect to time and space complexity when compared hadoop with non hadoop approach.

Cite This Paper

P.Srinivasa Rao, K.Thammi Reddy, MHM.Krishna Prasad, "A Novel Approach for Identification of Hadoop Cloud Temporal Patterns Using Map Reduce", International Journal of Information Technology and Computer Science(IJITCS), vol.6, no.4, pp.37-42, 2014. DOI:10.5815/ijitcs.2014.04.04

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