计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2015年
10期
72-78
,共7页
数字家庭网络%应用识别%Flow Level流量特征分析法%流量实时识别系统
數字傢庭網絡%應用識彆%Flow Level流量特徵分析法%流量實時識彆繫統
수자가정망락%응용식별%Flow Level류량특정분석법%류량실시식별계통
digital home networks%application identification%flow level characteristic approaches%real-time flow identi-fication system
数字家庭网络流量识别对保障数字家庭网络服务质量（Quality of Service，QoS）具有重要作用。提出的Flow Level 流量特征分析法结合Flow Level五元组分析和特征值分析，从五元组，上下行包数比，上下行平均包长及比值，上下行数据量比，源端地址数和端口数之比等方面研究视频点播、视频通话、下载和无线传屏等应用特征。其中，对P2P（Peer to Peer）视频点播和下载的识别方案做了进一步研究。最终满足了数字家庭网络流量识别的需求。在仿真实验阶段，测得家庭网络环境中主要应用占据带宽情况，分析并提取单位时间内应用流量特征值。最终基于Linux平台实现了多终端设备的多应用实时识别系统。
數字傢庭網絡流量識彆對保障數字傢庭網絡服務質量（Quality of Service，QoS）具有重要作用。提齣的Flow Level 流量特徵分析法結閤Flow Level五元組分析和特徵值分析，從五元組，上下行包數比，上下行平均包長及比值，上下行數據量比，源耑地阯數和耑口數之比等方麵研究視頻點播、視頻通話、下載和無線傳屏等應用特徵。其中，對P2P（Peer to Peer）視頻點播和下載的識彆方案做瞭進一步研究。最終滿足瞭數字傢庭網絡流量識彆的需求。在倣真實驗階段，測得傢庭網絡環境中主要應用佔據帶寬情況，分析併提取單位時間內應用流量特徵值。最終基于Linux平檯實現瞭多終耑設備的多應用實時識彆繫統。
수자가정망락류량식별대보장수자가정망락복무질량（Quality of Service，QoS）구유중요작용。제출적Flow Level 류량특정분석법결합Flow Level오원조분석화특정치분석，종오원조，상하행포수비，상하행평균포장급비치，상하행수거량비，원단지지수화단구수지비등방면연구시빈점파、시빈통화、하재화무선전병등응용특정。기중，대P2P（Peer to Peer）시빈점파화하재적식별방안주료진일보연구。최종만족료수자가정망락류량식별적수구。재방진실험계단，측득가정망락배경중주요응용점거대관정황，분석병제취단위시간내응용류량특정치。최종기우Linux평태실현료다종단설비적다응용실시식별계통。
Flow identification plays an important role in guaranteeing the performance of quality of service for digital home networks. On the basis of characteristic analysis and flow level five tuple analysis, this paper proposes Flow Level characteristic approaches and studies the application features of Video On Demand(VOD), QQ video, download and multi-screens etc. from the perspective of five tuple, the ratio of total number of uplink packets to total number of downlink packets, uplink and downlink mean packet length and its ratio, the ratio of uplink total bytes to downlink total bytes, the ratio of the number of source addresses to the number of source ports. Furthermore the P2P VOD and P2P download iden-tification are further studied. This Flow Level characteristic analysis approaches are satisfied with the need of flow identi-fication for digital home network. In the experiment, the bandwidth occupation is measured, the features of the main appli-cations per unit time are analyzed and extracted in the home networks. The multi-application real-time identification system for the multi-devices on the Linux platform is realized.
