Journal ArticleDOI
Characteristics of YouTube network traffic at a campus network - Measurements, models, and implications
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The results of these simulations show that P2P-based distribution and proxy caching can reduce network traffic significantly and allow for faster access to video clips.About:
This article is published in Computer Networks.The article was published on 2009-03-01. It has received 387 citations till now. The article focuses on the topics: Campus network.read more
Citations
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Journal ArticleDOI
FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers
Karthikeyan Shanmugam,Negin Golrezaei,Alexandros G. Dimakis,Andreas F. Molisch,Giuseppe Caire +4 more
TL;DR: This work shows that the uncoded optimum file assignment is NP-hard, and develops a greedy strategy that is provably within a factor 2 of the optimum, and provides an efficient algorithm achieving a provably better approximation ratio of 1-1/d d, where d is the maximum number of helpers a user can be connected to.
Book
Computer Networking: A Top-Down Approach
James F. Kurose,Keith W. Ross +1 more
TL;DR: Computer Networking: A Top-Down Approach Featuring the Internet explains the engineering problems that are inherent in communicating digital information from point to point, and presents the mathematics that determine the best path, show some code that implements those algorithms, and illustrate the logic by using excellent conceptual diagrams.
Proceedings ArticleDOI
FemtoCaching: Wireless video content delivery through distributed caching helpers
Negin Golrezaei,Karthikeyan Shanmugam,Alexandros G. Dimakis,Andreas F. Molisch,Giuseppe Caire +4 more
TL;DR: The theoretical contribution of this paper lies in formalizing the distributed caching problem, showing that this problem is NP-hard, and presenting approximation algorithms that lie within a constant factor of the theoretical optimum.
Posted Content
FemtoCaching: Wireless Video Content Delivery through Distributed Caching Helpers
Karthikeyan Shanmugam,Negin Golrezaei,Alexandros G. Dimakis,Andreas F. Molisch,Giuseppe Caire +4 more
TL;DR: In this paper, the authors propose a system where helpers with low-rate backhaul but high storage capacity cache popular video files, and analyze the optimum way of assigning files to the helpers in order to minimize the expected downloading time for files.
Proceedings ArticleDOI
Confused, timid, and unstable: picking a video streaming rate is hard
TL;DR: This work measures three popular video streaming services -- Hulu, Netflix, and Vudu -- and finds that accurate client-side bandwidth estimation above the HTTP layer is hard, and rate selection based on inaccurate estimates can trigger a feedback loop, leading to undesirably variable and low-quality video.
References
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Proceedings ArticleDOI
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
TL;DR: In this article, the authors analyzed YouTube, the world's largest UGC VoD system, and provided an in-depth study of the popularity life cycle of videos, intrinsic statistical properties of requests and their relationship with video age, and the level of content aliasing or of illegal content.
Proceedings ArticleDOI
Youtube traffic characterization: a view from the edge
TL;DR: This paper presents a traffic characterization study of the popular video sharing service, YouTube, and finds that as with the traditional Web, caching could improve the end user experience, reduce network bandwidth consumption, and reduce the load on YouTube's core server infrastructure.
Proceedings Article
Measurement and analysis of a streaming-media workload
TL;DR: A client-based streaming- media workload generated by a large organization is presented, media workload characteristics are compared to traditional Web-object workloads, and the effectiveness of performance optimizations on streaming-media workloads are explored.
Proceedings ArticleDOI
Characterizing User Access To Videos On The World Wide Web
TL;DR: An analysis of trace data obtained from an ongoing VOW experiment in Lulea University of Technology, Sweden revealed a number of interesting discoveries regarding user VOW access, including a browsing pattern where users preview the initial portion of a video to find out if they are interested.
Proceedings ArticleDOI
Watch Global, Cache Local: YouTube Network Traffic at a Campus Network - Measurements and Implications
TL;DR: In this article, a measurement study of YouTube traffic in a large university campus network was conducted and the results of these simulations show that client-based local caching, P2P-based distribution, and proxy caching can reduce network traffic significantly and allow faster access to video clips.