Reverse Engineering the Youtube Video Delivery Cloud

نویسندگان

  • Vijay Kumar Adhikari
  • Sourabh Jain
  • Yingying Chen
  • Zhi-Li Zhang
چکیده

In this paper we set out to “reverse-engineer” the YouTube video delivery cloud by building a globally distributed active measurement infrastructure. Through careful and extensive data collection, analysis and experiments, we deduce the key design features underlying the YouTube video delivery cloud. The design of the YouTube video delivery cloud consists of three major components: a “flat” video id space, multiple DNS namespaces reflecting a multi-layered logical organization of video servers, and a 3-tier physical cache hierarchy. By mapping the video id space to the logical servers via a fixed hashing and cleverly leveraging DNS and HTTP redirection mechanisms, such a design leads to a scalable, robust and flexible content distribution system.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Effective Way to Improve YouTube-8M Classification Accuracy in Google Cloud Platform

Large-scale datasets have played a significant role in progress of neural network and deep learning areas. YouTube-8M is such a benchmark dataset for general multilabel video classification. It was created from over 7 million YouTube videos (450,000 hours of video) and includes video labels from a vocabulary of 4716 classes (3.4 labels/video on average). It also comes with pre-extracted audio &...

متن کامل

A Survey of Current YouTube Video Characteristics

raffic produced by YouTube has had a significant impact on both fixed and mobile networks. The study and evaluation of YouTube content features can benefit network traffic engineering by supporting the development of sustainable video delivery services and regulation of network traffic. Such evaluations are particularly useful to network operators who aim to refine and optimize existing cache a...

متن کامل

Internet Video Delivery in YouTube: From Traffic Measurements to Quality of Experience

This chapter investigates HTTP video streaming over the Internet for the YouTube platform. YouTube is used as concrete example and case study for video delivery over the Internet, since it is not only the most popular online video platform, but also generates a large share of traffic on today’s Internet. We will describe the YouTube infrastructure as well as the underlying mechanisms for optimi...

متن کامل

Analyzing the Impact of YouTube Delivery Policies on the User Experience

This paper presents an in-depth study of YouTube video service delivery. We have designed a tool that crawls YouTube videos in order to precisely evaluate the quality of experience (QoE) as perceived by the user. We enrich the main QoE metric, the number of video stalls, with many network measurements and use multiple DNS servers to understand the main factors that impact QoS and QoE. This tool...

متن کامل

Scalable Social Analytics for Live Viral Event Prediction

Large-scale, predictive social analytics have proven effective. Over the last decade, research and industrial efforts have understood the potential value of inferences based on online behavior analysis, sentiment mining, influence analysis, epidemic spread, etc. The majority of these efforts, however, are not yet designed with realtime responsiveness as a first-order requirement. Typical system...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011