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Sushma, K.
- EPH-Enhancement of Parallel Mining using Hadoop
Abstract Views :125 |
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Authors
Neha Mangla
1,
K. Sushma
1
Affiliations
1 A.I.T., Bangalore, IN
1 A.I.T., Bangalore, IN
Source
International Journal of Engineering Research, Vol 5, No SP 5 (2016), Pagination: 1009-1015Abstract
Data in this era is generating at tremendous rate so now it is need of today to handle the data to gain useful insight, this data can be useful for researcher and accommodation to do analysis. As we know traditional system cannot handle more than terabytes of data since it affects performance and also storage is very costly. Bigdata is a innovative technique analyze, store, manage, distribute and capture datasets. To achieve compressed storage in this implement a parallel mining algorithm called as enhancement of parallel mining using Hadoop. Hadoop is a platform which enables the distributing processing using mapreduce programming. This help in getting result at very fast rate as result in less time help in competing for growth of business. For the analysis in this paper unstructured datasets from real-time is taken and converted to structured format and process in mapreduce. It is found in literature existing mining algorithm for real time datasets lacks in fault tolerance, load balancing, data distribution and automatic parallelization. To overcome these disadvantages we implement mapreduce for association analysis. In EPH we improve performance by distributing load across the computing nodes .In our proposed solution we use real-world celestial spectral data .The graphical representation of traditional system comparison with Hadoop is shown in this paper.Keywords
Bigdata, Hadoop, Mapreduce, Parallel Mining, Association Analysis, Enhancement of Parallel Mining using Hadoop(EPH).Full Text
- Convection in a Vertical Channel Filled with a Casson Nanofluid
Abstract Views :154 |
PDF Views:0
Authors
K. Sushma
1,
S. Sreenadh
1
Affiliations
1 Department of Mathematics, S.V. University, Tirupati– 517 502, A.P., IN
1 Department of Mathematics, S.V. University, Tirupati– 517 502, A.P., IN
Source
Research Journal of Science and Technology, Vol 9, No 3 (2017), Pagination: 345-352Abstract
The laminar fully developed mixed convection flow of a Casson nanofluid in a vertical channel bounded by parallel plates with asymmetrical thermal and nanoparticle concentration conditions at the walls is investigated. The nanofluid model used here includes the effects of Brownian diffusion and thermophoresis. The expressions for the velocity, temperature and nanoparticle concentration profiles are obtained. Nusselt and Sherwood numbers at the left wall of the channel are determined and discussed in detail. When the Casson parameter tend to zero, the results deduced agree with the corresponding ones of Grosan and Pop [23]. It is observed that the velocity decreases at the both walls (hot and cold walls) due to increasing Casson parameter. Further a numerical solution is also obtained and is compared with the analytical solution.Keywords
Vertical Channel, Convection Flow, Casson Nanofluid.
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