English  |  正體中文  |  简体中文  |  Items with full text/Total items : 27221/39064
Visitors : 2403216      Online Users : 71
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/38169

Title: Network Burst Monitoring and Detection Based on Fractal Dimension with Adaptive Time-Slot Monitoring Mechanism
Authors: Hsiao-Wen Tin;Shao-Wei Leu;Shun-Hsyung Chang;Gene-Eu Jan
Contributors: 國立臺灣海洋大學:電機工程學系
Date: 2013
Issue Date: 2016-08-10T02:25:38Z
Publisher: Journal of Marine Science and Technology
Abstract: 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
Appears in Collections:[電機工程學系] 期刊論文

Files in This Item:

File Description SizeFormat
index.html0KbHTML63View/Open


All items in NTOUR are protected by copyright, with all rights reserved.

 


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback