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Internet Traffic Measurement: Trends and Impact to Campus Network

机译:互联网流量测量:趋势和对校园网络的影响

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University of Lampung (Unila) is an Institution of Higher Education located in Bandar Lampung. Since 2016 , Unila has deployed Internet Access Management (IAM) to guarantee the healthiness of the campus network, as well as to enhance the effectiveness of the bandwidth usage. This study focused on internet traffic measurement, conducted in Unila’s campus network during February 1 until February 29, 2016. Overall, this study shows user behavior on their application. The trend data of monthly most popular URL Categories accessed by users was; 1 st Computers & Technology with 30032328 hits or 39.1%, the 2 nd was Search Engines & Portals with 14214611 hits or 18.5%. There were around 30-40 % of internet traffic was use for Streaming Media activity, it proves that the existence of Streaming Media Activity in Campus Network which contribute to network congestion. During a month doing internet measurement, we identify the most active device/user that are the 1 st was Aruba Wireless Controller with total traffic flow 40.45%, the 2 nd was CCR-1 with 26.2%, the 3 rd was CCR-2 with 16.9%, and the 4 th was Digital Library Server with total flow was 0.6%. Monthly uplink traffic total flow was 5889.92 GB while downlink traffic total flow was 61041.35 GB. We made a recommendation to Unila management for implementing traffic provisioning especially on streaming media activity specific on access to Google Global Cache (GGC), to overcome network congestion during peak time period on working hours.
机译:楠榜大学(Unila)是位于班达楠榜的高等教育机构。自2016年以来,Unila已部署Internet访问管理(IAM)以确保校园网络的健康并增强带宽使用的效率。这项研究的重点是在Unila的校园网络中于2016年2月1日至2016年2月29日进行的互联网流量测量。总体而言,该研究显示了用户在其应用程序上的行为。用户访问的每月最受欢迎URL类别的趋势数据为;排名第一的是计算机与技术领域,其搜索量为30032328,占39.1%;排名第二的是搜索引擎与门户,其排名为14214611,占18.5%。流媒体活动使用了大约30-40%的Internet流量,这证明了校园网中流媒体活动的存在是造成网络拥塞的原因。在进行互联网测量的一个月中,我们确定最活跃的设备/用户是:第一是Aruba无线控制器,其总流量为40.45%,第二是CCR-1,占26.2%,第三是CCR-2,其16.9%,第四名是Digital Library Server,总流量为0.6%。每月上行链路总流量为5889.92 GB,而下行链路总流量为61041.35 GB。我们向Unila管理层提出了一项建议,以实施流量供应,特别是针对访问Google全局缓存(GGC)的流媒体活动,以克服工作时间高峰时段的网络拥塞。

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