Campus-Level Instagram Traffic: A Case Study

被引：2
|
作者：
Klenow, Steffen Berg [1 ]
Williamson, Carey [2 ]
Arlitt, Martin [2 ]
Keshvadi, Sina [2 ]
机构：
[1] Univ Southern Denmark, Odense, Denmark
[2] Univ Calgary, Calgary, AB, Canada
来源：
2019 IEEE 27TH INTERNATIONAL SYMPOSIUM ON MODELING, ANALYSIS, AND SIMULATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (MASCOTS 2019) | 2019年
基金：
加拿大自然科学与工程研究理事会;
关键词：
Network traffic measurement; Internet traffic characterization; online social networks; Instagram; TCP/IP;
D O I：
10.1109/MASCOTS.2019.00032
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Instagram is a popular network application for photo sharing, video streaming, and online social media interaction. In this paper, we present results from an initial characterization study of Instagram network traffic, as viewed from a large campus edge network. Despite the challenges of NAT, DHCP, end-to-end encryption, and high traffic volume, we are able to identify key characteristics of Instagram traffic, which exceeds 1 TB per day. The main highlights from our study include classic observations such as diurnal usage patterns, Zipf-like distributions for IP frequency-rank profile, and heavy-tailed transfer size distributions.
引用
收藏
页码：228 / 234
页数：7
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