Design and Implementation of Visualized Monitoring System Based on Clustering Algorithm for P2P Streaming Services

DAI Jin; TAN Liang-liang; WANG Qin-hui; YUAN Zheng-fan; YE Bao-liu

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Design and Implementation of Visualized Monitoring System Based on Clustering Algorithm for P2P Streaming Services

更新时间：2026-09-04

- Design and Implementation of Visualized Monitoring System Based on Clustering Algorithm for P2P Streaming Services
- Vol. 29, Issue 12, Pages: 184-188(2012)
- 作者机构：
  
  1. 南京大学金陵学院,江苏,南京,210089
  2. 南京大学计算机软件新技术国家重点实验室机构,江苏,南京,210049
- 作者简介：
- 基金信息：
- DOI：
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- Published：2012
- 稿件说明：
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戴瑾, 谭良良, 王钦辉, 袁征帆, 叶保留. 一种基于聚类算法的P2P流媒体服务平台可视化监控系统的设计与实现[J]. 微电子学与计算机, 2012, 29(12): 184-188.

DAI Jin, TAN Liang-liang, WANG Qin-hui, et al. Design and Implementation of Visualized Monitoring System Based on Clustering Algorithm for P2P Streaming Services[J]. 2012, 29(12): 184-188.
戴瑾, 谭良良, 王钦辉, 袁征帆, 叶保留. 一种基于聚类算法的P2P流媒体服务平台可视化监控系统的设计与实现[J]. 微电子学与计算机, 2012, 29(12): 184-188. DOI：

DAI Jin, TAN Liang-liang, WANG Qin-hui, et al. Design and Implementation of Visualized Monitoring System Based on Clustering Algorithm for P2P Streaming Services[J]. 2012, 29(12): 184-188. DOI：

摘要

基于P2P技术的流媒体服务技术已得到广泛应用.然而P2P流媒体服务系统中拓扑结构的动态性与用户行为的自主性使得流媒体服务质量面临挑战.本文以南京大学研制的交互式P2P流媒体服务平台NJUVoD为背景

基于协同过滤机制及聚类算法

设计了一个面向P2P流媒体服务平台的可视化Web监控系统.实现了对用户行为、拓扑结构、系统状态的在线分析

为了解系统运行状况、优化系统性能提供了决策依据.

Abstract

With the advances of Peer-to-Peer (P2P) technology

streaming service was widely used over the Internet.However

the dynamics of overlay topology as well as the spontaneous behavior of users make it challengeable to improve the service quality.To address the above challenges

we design and implement a web monitoring system based on NJUVoD

an interactive P2P streaming service platform developed by Nanjing University.By using collaborative filtering mechanism and clustering algorithm

the web monitoring system could analyze the user behavior

topology structure and system status on-the-fly.In addition

it provides a tool for understanding the runtime status and optimizing the system performance.

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