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http://dx.doi.org/10.5762/KAIS.2012.13.12.6060

A Study on the Enhancement Process of the Telecommunication Network Management using Big Data Analysis  

Koo, Sung-Hwan (Division of information technology management, Hanyang University)
Shin, Min-Soo (Division of Management, Hanyang University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.13, no.12, 2012 , pp. 6060-6070 More about this Journal
Abstract
Real-Time Enterprise (RTE)'s key requirement is that it should respond and adapt fast to the change of the firms' internal and external situations including the change of market and customers' needs. Recently, the big data processing technology to support the speedy change of the firms is spotlighted. Under the circumstances that wire and wireless communication networks are evolving with an accelerated rate, it is especially critical to provide a strong security monitoring function and stable services through a real-time processing of massive communication data traffic. By applying the big data processing technology based on a cloud computing architecture, this paper solves the managerial problems of telecommunication service providers and discusses how to operate the network management system effectively.
Keywords
Big Data; Network Management System; Distribution System; Business Intelligence; cloud computing; DBMS; Hadoop; NoSQL; Complex Event Processing;
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  • Reference
1 Rabin, S., "The Real-Time Enterprise, the Real-Time Supply Chain" Information Systems Management 20(2): pp. 58-62, 2003, Article(CrossRefLink)   DOI   ScienceOn
2 Chang, B. Y., Park, B. J, and S. J. Hwang, "Design and Implementation of A Real Time Process Management System for Telecom Operations and Management, Intelligence Information Research, 16(3): pp. 107, 2009.
3 Chae, S. B. "Big data: the cause of industrial change". pp. 6-7, SERI, 2012.
4 NIA "The engine of creating the new value, The new possibility of the big data and the relevant strategy" pp. 13-20, vol 18, 2011.
5 Hugos, M., "Building the real-time enterprise : an executive briefing", pp. 135-140, 21th century books, 2005.
6 Hahm, Y. K. and S. B. Chae, "Bid data changes the business administration", pp. 215-217, 2012.
7 Mckinsey Quarterly, Clouds, big data, and smart assets: Ten tech-enabled business trends to watch
8 Jeong, B. K. "The future society and big data", pp. 13-15, NIPA, 2011.
9 ITU-T Rec. M.3010, "Principles for a telecommunication management network" , 1992.
10 ITU-T Rec. M.3400, "TMN Management Function"
11 IBM, "The white paper for the virtualization", pp. 6-8, 1997, 2008.
12 Oh, K. "The cloud service and the virtualizaiton", pp 60-61, TTA, 2009.
13 Yoo, T. J. "The power of analysis", P 102-105, Kyobo book center, 2001.
14 Wu, E., Diao, Y., and S. Rizvi, "High-Performance Complex Event Processing over Streams" SIGMOD, pp. 407-408, 2006, Article(CrossRefLink)
15 Sloman, M. "Policy driven management for distributed systems." Journal of Network and Systems Management 2(4): pp. 333-360, 1994, Article(CrossRefLink)   DOI
16 Agrawal, D., S. Das and A. E. Abbadi, "Big data and cloud computing: new wine or just new bottles?" Proc. VLDB Endow. 3(1-2): pp. 1647-1648, 2010.   DOI
17 Lakshman, T. V. and D. Stiliadis, "High-speed policy-based packet forwarding using efficient multi-dimensional range matching." SIGCOMM Comput. Commun. Rev. 28(4): pp. 203-214, 1998, Article(CrossRefLink)   DOI
18 Lupu, E. C. and M. Sloman. "Conflicts in policy-based distributed systems management." Software Engineering, IEEE Transactions on 25(6): pp. 852-869, 1999, Article(CrossRefLink)   DOI
19 Lymberopoulos, L., E. Lupu, and M. Sloman. "An Adaptive Policy-Based Framework for Network Services Management." Journal of Network and Systems Management 11(3): pp. 277-303, 2003, Article(CrossRefLink)   DOI
20 Neumeyer, L., B. Robbins, et al,. S4:Distributed Stream Computing Platform. Data Mining Workshops (ICDMW), 2010 IEEE International Conference, 2010, Article(CrossRefLink)
21 Mckinsey Quarterly Clouds, big data, and smart assets: Ten tech-enabled business trends to watch