DocumentCode :
2447596
Title :
A Study in Hadoop Streaming with Matlab for NMR Data Processing
Author :
Gunaratna, Kalpa ; Anderson, Paul ; Ranabahu, Ajith ; Sheth, Amit
Author_Institution :
Ohio Center of Excellence in Knowledge Enabled Comput., Wright State Univ., Dayton, OH, USA
fYear :
2010
fDate :
Nov. 30 2010-Dec. 3 2010
Firstpage :
786
Lastpage :
789
Abstract :
Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud computing for Nuclear Magnetic Resonance (NMR)data analysis which normally consists of large amounts of data. Biologists often use third party or commercial software for ease of use. Enabling the capability to use this kind of software in a Cloud will be highly advantageous in many ways. Scripting languages especially designed for clouds may not have the flexibility biologists need for their purposes. Although this is true, they are familiar with special software packages that allow them to write complex calculations with minimum effort, but are often not compatible with a Cloud environment. Therefore, biologists who are trying to perform analysis on NMR data, acquire many advantages due to our proposed solution. Our solution gives them the flexibility to Cloud-enable their familiar software and it also enables them to perform calculations on a significant amount of data that was not previously possible. Our study is also applicable to any other environment in need of similar flexibility. We are currently in the initial stage of developing a framework for NMR data analysis.
Keywords :
biological NMR; cloud computing; data analysis; mathematics computing; software packages; Matlab; NMR data processing; cloud computing; commercial software; complex calculation; data driven scientific application; data sets; hadoop streaming; nuclear magnetic resonance data analysis; scripting languages; software packages; Biology; Cloud computing; Equations; Mathematical model; Metabolomics; Nuclear magnetic resonance; Software; Hadoop streaming; Matlab;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2010 IEEE Second International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4244-9405-7
Electronic_ISBN :
978-0-7695-4302-4
Type :
conf
DOI :
10.1109/CloudCom.2010.70
Filename :
5708532
Link To Document :
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