An analysis of live streaming workloads on the internet

By Kunwadee Sripanidkulchai, Bruce MacDowell Maggs, Hui Zhang. ACM/SIGCOMM Internet Measurement Conference, 2004

353 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/ce33ad7b007aa43dfbd4f0ad9fa5c4f5099d39c4

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In Computer Networks and Communications

Citations in the corpus

Understanding the impact of video quality on user engagement (2011, methodology): “Measurements of deployed video delivery systems: The networking community has beneﬁted immensely from measurement studies of deployed VoD and streaming systems using both “black-box” inference (e.g., [12, 25, 33, 35]) and “white-box” measurements (e.g., [22,27,30,37]).”
Understanding churn in peer-to-peer networks (2006, background): “Categories and Sub ject Descriptors C.2.3 [Computer Communication Networks]: Network Operations Network monitoring ; I.6.5 [Simulation and Modeling]: Model Development; C.2.4 [Computer Communication Networks]: Distributed Systems Distributed applications General Terms Measurement, Reliability,…”
Wikipedia workload analysis for decentralized hosting (2009, background): “Previous Web workload analyses focused on other types of Web sites such as e-commerce sites [6], P2P file sharing systems [15], static Web sites [8,7,4] and multimedia delivery systems [16,31,12].”
Peer-assisted content distribution in Akamai netsession (2013, methodology): “CDN measurement studies: There are several prior studies of content-distribution systems, including both peerto-peer [13,26] and infrastructure [32] systems.”
Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs (2012, background): “There has been significant amount of work in workload characterization of streaming media, P2P, and web workloads [25, 4].”
On dominant characteristics of residential broadband internet traffic (2009, background): “Other work has looked at media server workloads regarding file popularity and temporal properties, such as in terms of live media streams collected from a large CDN [49], and file reference characteristics and user behavior of a production video-on-demand system in large-scale use [55].”
Watching television over an IP network (2008, background): “[33] studied the Internet radio and video streaming workloads of 5,000 users in Akamai, the largest content distribution network in the world.”
Multimedia streaming via TCP: an analytic performance study (2004, background): “In [Sripanidkulchai et al. 2004], the authors studied the live streaming workload from a large content distribution network and showed that roughly 40% to 80% of the live streaming uses HTTP/TCP.”
A Measurement Study of a Large-Scale P2P IPTV System (2007, methodology): “A measurement study was carried out for the live streaming workload from a large content delivery network in [36].”
PRIME: Peer-to-Peer Receiver-drIven MEsh-Based Streaming (2007, neutral): “, [3]).”