Research Article
Analysis of Devops Tools using the Traditional Data Mining Techniques
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 161 - Issue 11 |
| Published: Mar 2017 |
| Authors: R. Vaasanthi, V. Prasanna Kumari, S. Philip Kingston |
10.5120/ijca2017913319
|
R. Vaasanthi, V. Prasanna Kumari, S. Philip Kingston . Analysis of Devops Tools using the Traditional Data Mining Techniques. International Journal of Computer Applications. 161, 11 (Mar 2017), 47-49. DOI=10.5120/ijca2017913319
@article{ 10.5120/ijca2017913319,
author = { R. Vaasanthi,V. Prasanna Kumari,S. Philip Kingston },
title = { Analysis of Devops Tools using the Traditional Data Mining Techniques },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 161 },
number = { 11 },
pages = { 47-49 },
doi = { 10.5120/ijca2017913319 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A R. Vaasanthi
%A V. Prasanna Kumari
%A S. Philip Kingston
%T Analysis of Devops Tools using the Traditional Data Mining Techniques%T
%J International Journal of Computer Applications
%V 161
%N 11
%P 47-49
%R 10.5120/ijca2017913319
%I Foundation of Computer Science (FCS), NY, USA
Abstract
DevOps - a portmanteau of Development and Operations is a set of practices focused on using latest generation tools to automate the configuration process for system resources and application components [2]. Process efficiency improves from hours and days to seconds and minutes. IT performance strongly correlates with well-known DevOps practices such as use of Version Control and Continuous Delivery. The longer an organization has implemented — and continues to improve upon — DevOps practices, the better it performs [7]. And better IT performance correlates to higher performance for the entire organization. Today, enormous amount of tools are present in DevOps space.
References
- CSI Communications, Knowledge Digest for IT community ISSN 0970-647X, Volume No: 38, August 2014.
- Devops for Big data @ Supaket, Solution Architect at Enersys.co.th, August 2016
- Dell Software, “Devops for the cloud”, achieving agility throughout the application life cycle, Dec 2014.
- Han J. and Kamber M., Data Mining: Concepts and Techniques, 2nd ed., San Francisco, Morgan Kauffmann Publishers,2001
- Shahrukh Teli and Prashasti Kanikar., A Survey on Decision Tree Based Approaches in Data Mining., Volume 5, Issue 4, 2015., Volume 5, Issue 4, 2015.
- Li, Linna, and Xuemin Zhang. "Study of data mining algorithm based on decision tree." In Computer Design and Applications (ICCDA), 2010 International Conference on, vol. 1, pp. V1-155. IEEE, 2010
- CA technologies, Research paper: DevOps: the worst-kept secret to winning in the application economy., October 2014
- Floris Erich, Chintan Amrit and Maya Daneva., Research Gate, “Report: DevOps Literature Review”, October 2014
- Saroj, Tripti Chaudhary., “Study on Various Clustering Techniques” International Journal of Computer Science and Information Technologies, Vol. 6 (3) , 2015, 3031-3033
- Shameem Fathima,D. Manimegalai and Nisar Hundewale, “ A Review of Data Mining Classification Techniques Applied for Diagnosis and Prognosis of the Arbovirus- Dengue” IJCSI International Journal of Computer science issues, Vol 8 Issue 6m No 3 , 2011.
- https://en.wikipedia.org/wiki/Systems_development_life_cycle
- S. Anupama Kumar and M.N. Vijayalakshmi “Relevance of Data mining techniques in efficient sector” International Journal of Machine Learning and Computing. Vol 3, No.1, 2013.
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