Skype multimedia application traffic analysis on home Unifi network

M. Kassim, S. F. Ramle, R. A. Rahman, M. I. Yusof
{"title":"Skype multimedia application traffic analysis on home Unifi network","authors":"M. Kassim, S. F. Ramle, R. A. Rahman, M. I. Yusof","doi":"10.1109/ISCAIE.2017.8074974","DOIUrl":null,"url":null,"abstract":"This paper presents an analysis of Skype application network traffic on Home UniFi network. Recently, Skype is identified as one of the most online video media applications used in today's network communication. Before, people communicate through Skype using telephone line where it is very costly. Today, UniFi broadband network give better bandwidth for Skype users and more cheaper solution. However, it is important to determine whether the bandwidth offered by UniFi is fully utilized by the users as they consistently pay for it. The objectives of this research is to analyze multimedia Skype traffic characteristics such as usage of bandwidth, round trip time (RTT), and packet loss, Skype protocol, and Skype traffic model. The method involved establishing both video and voice calls at different time using Skype of home UniFi where one of the users runs the Wireshark to capture the traffic. Data are collected in schedule time and analyzed using MATLAB software. Collected data are analyzed on total of bandwidth usage and type of protocol used. Comparison is being made between different protocols used in time. Then, Skype traffic model is identified by fitted the raw data. Two-parameter Cumulative Distributions Functions (CDF) is generated. Maximum Likelihood Estimator (MLE) technique is used to get the best traffic model which presents the highest MLE value. Result presents that Skype is using UDP protocol more than TCP protocol and the bandwidth usage is underutilized where only 10% of bandwidth is used from the offered committed access rate paid on the access bandwidth line. This study is significant in developing a dynamic committed access rate algorithms line which would benefits the broadband network users.","PeriodicalId":298950,"journal":{"name":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCAIE.2017.8074974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This paper presents an analysis of Skype application network traffic on Home UniFi network. Recently, Skype is identified as one of the most online video media applications used in today's network communication. Before, people communicate through Skype using telephone line where it is very costly. Today, UniFi broadband network give better bandwidth for Skype users and more cheaper solution. However, it is important to determine whether the bandwidth offered by UniFi is fully utilized by the users as they consistently pay for it. The objectives of this research is to analyze multimedia Skype traffic characteristics such as usage of bandwidth, round trip time (RTT), and packet loss, Skype protocol, and Skype traffic model. The method involved establishing both video and voice calls at different time using Skype of home UniFi where one of the users runs the Wireshark to capture the traffic. Data are collected in schedule time and analyzed using MATLAB software. Collected data are analyzed on total of bandwidth usage and type of protocol used. Comparison is being made between different protocols used in time. Then, Skype traffic model is identified by fitted the raw data. Two-parameter Cumulative Distributions Functions (CDF) is generated. Maximum Likelihood Estimator (MLE) technique is used to get the best traffic model which presents the highest MLE value. Result presents that Skype is using UDP protocol more than TCP protocol and the bandwidth usage is underutilized where only 10% of bandwidth is used from the offered committed access rate paid on the access bandwidth line. This study is significant in developing a dynamic committed access rate algorithms line which would benefits the broadband network users.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Skype多媒体应用在家庭Unifi网络上的流量分析
本文对Skype应用程序在家庭统一网络上的网络流量进行了分析。最近,Skype被确定为当今网络通信中使用最多的在线视频媒体应用程序之一。以前,人们通过Skype使用电话线进行交流,这是非常昂贵的。今天,统一宽带网络为Skype用户提供了更好的带宽和更便宜的解决方案。然而,确定UniFi提供的带宽是否被用户充分利用是很重要的,因为他们一直在为此付费。本研究的目的是分析多媒体Skype流量特征,如带宽的使用、往返时间(RTT)、丢包、Skype协议和Skype流量模型。该方法涉及使用家庭UniFi的Skype在不同时间建立视频和语音通话,其中一个用户运行Wireshark来捕获流量。在规定的时间内采集数据并使用MATLAB软件进行分析。收集到的数据将根据带宽使用情况和使用的协议类型进行分析。在时间上对不同的协议进行了比较。然后,对原始数据进行拟合,识别Skype流量模型。生成双参数累积分布函数(CDF)。利用极大似然估计(Maximum Likelihood Estimator, MLE)技术得到最大似然估计值的最佳流量模型。结果表明,Skype使用UDP协议多于TCP协议,带宽使用率未充分利用,其中只有10%的带宽被使用,来自访问带宽线上支付的承诺访问速率。本文的研究对开发一种动态承诺接入速率算法具有重要意义,有利于宽带网络用户的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A data-driven sigmoid-based PI controller for buck-converter powered DC motor Emperical analysis of hyper-heuristic search algorithms in expensive numerical optimzation Hybrid BCI utilising SSVEP and P300 event markers for reliable and improved classification using LED stimuli Adaptive authentication: Implementing random canvas fingerprinting as user attributes factor Design of a low voltage DC grid interfacing PV and energy storage systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1