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An Efficient Management of Network Traffic using Framework-based Performance Management Tool  

Choi Seong-Man (전북대학교 컴퓨터통계정보학과)
Tae Gyu-Yeol (전주교육대학교 전자계산소)
Yoo Cheol-Jung (전북대학교 자연과학대학)
Chang Ok-Bae (전북대학교 전자정보공학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.11, no.3, 2005 , pp. 224-234 More about this Journal
Abstract
As the network-related technology develops the number of both Internet users and the usage are explosively increasing. The networking traffic is increasing in the campus as the networking system inside universities, following the trend, adds more nodes and various networking services. Nonetheless, the quality of services for users has been degraded. Accordingly, core problems, which can cause troubles for network management, design and expansion of the network, and the cost policy, has appeared. To effectively cope with the problems with analyses a great number of technicians, tools, and budget are needed. However, it is not possible for mid and small-sized colleges to spend such a high expenditure for professional consulting. To reduce the cost and investment creating the optimized environment, the analyses on the replacement of the tools, changing the network structure, and performance analysis about capacity planning of networking is necessary. For this reason, in this paper, framework-based performance management tools are used for all steps that are related to the subject of the analysis for the network management. As the major research method, the current data in detailed categories are collected, processed, and analyzed to provide the solution for the problems. As a result we could manage the network, server, and application more systematically and react efficiently to errors and degrading of performance that affect the networking tasks. Also, with the scientific and organized analyses the overall efficiency is upgraded by optimizing the cost for managing the operation of entire system.
Keywords
Framework; Network Traffic; Performance Management; Performance Analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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