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Agarwal, Shafali
- Map-Reduce Implementations: Survey and Performance Comparison
Abstract Views :184 |
PDF Views:141
Authors
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1 Department of Computer Application, JSSATE, Noida, IN
1 Department of Computer Application, JSSATE, Noida, IN
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 7, No 4 (2015), Pagination: 119-126Abstract
Map Reduce has gained remarkable significance as a prominent parallel data processing tool in the research community, academia and industry with the spurt in volume of data that is to be analyzed. Map Reduce is used in different applications such as data mining, data analytics where massive data analysis is required, but still it is constantly being explored on different parameters such as performance and efficiency. This survey intends to explore large scale data processing using Map Reduce and its various implementations to facilitate the database, researchers and other communities in developing the technical understanding of the Map Reduce framework. In this survey, different Map Reduce implementations are explored and their inherent features are compared on different parameters. It also addresses the open issues and challenges raised on fully functional DBMS/Data Warehouse on Map Reduce. The comparison of various Map Reduce implementations is done with the most popular implementation Hadoop and other similar implementations using other platforms.Keywords
Map Reduce, Parallel Data Processing tools, Map Reduce Frameworks, Hadoop, DBMS/Data Warehouse.Full Text
- Image Encryption Techniques Using Fractal Function:A Review
Abstract Views :261 |
PDF Views:152
Authors
Affiliations
1 Department of Computer Applications, JSS Academy of Technical Education, Noida, IN
1 Department of Computer Applications, JSS Academy of Technical Education, Noida, IN
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 9, No 2 (2017), Pagination: 53-68Abstract
An increasing demand of secure data transmission over internet leads to the challenge of implementing a consistent cryptosystem. In 2004, USA navy published the patent which highlights the importance of fractal as an encryption/decryption key in a cryptosystem [1]. Fractal possess butterfly effect i.e. sensitivity to initial condition, due to which small change in input produces a major change in output. This paper summarizes the various recent image encryption techniques in which fractal key is used to encrypt/decrypt followed by substitution, scrambling and diffusion techniques to provide strong cryptosystem. The algorithms covered both private key encryption as well as public key encryption technique in the paper. The analysed algorithms include a set of fractal function such as Mandelbrot set, Julia set, Hilbert curve, 3D fractal, multi-fractal, IFS and chaotic function to generate a complex key used in the encryption process. Corresponding performance of each algorithm is analysed by PSNR test, key space, sensitivity analysis and correlation coefficient value between the adjacent pixels of both images (Original image and encrypted image) which shows significant improvement in performance over the traditional encryption methods.Keywords
Image Encryption, Fractal, Chaotic Function, Scrambling, NIST Test Suite.Full Text
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