Demo Data from EDBT 2026 / reviewers in the wild / expert
D. Tony Ren
dblp:118/8668
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Content delivery and video streaming · 44% Network measurement and analytics · 44% Internet architecture and protocols · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Content delivery and video streaming › peer-assisted content distribution
peer-assisted streaming |
0.1 | 1 | 2012 | Global 1-Mbps Peer-Assisted Streaming: Fine-Grain Measurement of a Configurable Platform · IEEE Trans. Multim. 2012 |
Internet architecture and protocols
multicast |
0.0 | 1 | 2012 | Global 1-Mbps Peer-Assisted Streaming: Fine-Grain Measurement of a Configurable Platform · IEEE Trans. Multim. 2012 |
Methods — techniques the papers use, named apart from their topics
trace analysis · 0.1measurement study · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Global 1-Mbps Peer-Assisted Streaming: Fine-Grain Measurement of a Configurable PlatformabstractHigh-resolution video is defining a new age of peer-assisted video streaming over the public Internet. Streaming over 1-Mbps videos in a scalable and global manner presents a challenging milestone. In this work, we examine the feasibility of 1-Mbps streaming through a global measurement study. In contrast to previous measurement studies that crawl commercial applications, we conduct fine-grain, controlled experiments on a configurable platform. We developed and deployed FastMesh-SIM, a novel peer-assisted streaming system that leverages proxies, scalable streaming trees and IP multicast to achieve 1-Mbps streaming at a global scale. With the configurability-enabled design, we are allowed to conduct controlled experiments by varying design decisions under a wide range of operating conditions, and measuring in-depth, finegrain metrics at a per-hop, per-segment level. We collected hundreds of hours of streaming traces that broadcast live TV channels to more than 120 peers and 30 proxies, with a global geographic footprint over 8 different countries. Data analysis demonstrates how a set of design decisions collectively overcome the 1-Mbps barrier. The various operational issues we uncovered provide insights to service providers that want to deploy a commercial system at a larger scale and a higher streaming rate. By comparing theory and practice, we also confirm theory-inspired architectural decisions, and show that our system indeed achieves throughputs close to theoretical upper-bound calculated under many ideal assumptions. Wenjie Jiang 0001, Shueng-Han Gary Chan, Mung Chiang, Jennifer Rexford, D. Tony Ren, Bin Wei 0003 |
IEEE Trans. Multim. | 5 |