National Taiwan Ocean University Institutional Repository:Item 987654321/38169
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题名: Network Burst Monitoring and Detection Based on Fractal Dimension with Adaptive Time-Slot Monitoring Mechanism
作者: Hsiao-Wen Tin;Shao-Wei Leu;Shun-Hsyung Chang;Gene-Eu Jan
贡献者: 國立臺灣海洋大學:電機工程學系
日期: 2013
上传时间: 2016-08-10T02:25:38Z
出版者: Journal of Marine Science and Technology
摘要: Abstract: This study proposed an approach to measure the burstiness of network traffic based on fractal dimensions (FDs). By definition, burstiness is the degree of variation in network traffic. This study defined two types of FDs: (1) the FD of network traffic that describes the flow variation of network traffic, and (2) the FD of the range that describes the degree of flow dispersal. The proposed method uses an adaptive time-slot monitoring mechanism to monitor the network. The relevant FDs are derived from measurements obtained during each time slot in a monitoring window.This study conducted experiments using NS2 simulation data. The experimental results indicate that the proposed method can effectively measure the burstiness of network traffic. The method provides a meaningful way to describe the variation of network traffic and reduces monitoring overhead by using an adaptive time-slot monitoring mechanism.
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/38169
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