A Campus-Level View of Netflix and Twitch: Characterization and Performance Implications

被引：0
|
作者：
Laterman, Michel [1 ]
Arlitt, Martin [1 ]
Williamson, Carey [1 ]
机构：
[1] Univ Calgary, Calgary, AB, Canada
来源：
2017 INTERNATIONAL SYMPOSIUM ON PERFORMANCE EVALUATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (SPECTS) | 2017年
基金：
加拿大自然科学与工程研究理事会;
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Video streaming is a major contributor to modern Internet traffic. In this paper, we use data collected from a campus edge network to characterize two popular video streaming services: Netflix and Twitch. While these video streaming services provide inherently different types of content, namely video-on-demand and live-streaming, they nonetheless exhibit many similarities in traffic patterns, protocol usage, content popularity, and growth. We identify seven similarities and differences, and discuss how these could be leveraged to improve streaming video content delivery on the Internet in the future.
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页数：8
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