Demo Data from VLDB 2026 / reviewers in the wild / expert
Josh Helzer
dblp:77/993
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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 |
Transport protocols and congestion control · 50% Content delivery and video streaming · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Content delivery and video streaming › quality of experience
streaming quality |
0.1 | 1 | 2006 | Media Streaming via TFRC: An Analytical Study of the Impact of TFRC on User-Perceived Media Quality · INFOCOM 2006 |
Transport protocols and congestion control › equation-based rate control
TCP-friendly rate control |
0.1 | 1 | 2006 | Media Streaming via TFRC: An Analytical Study of the Impact of TFRC on User-Perceived Media Quality · INFOCOM 2006 |
Performance modeling and evaluation
queueing models |
0.0 | 1 | 2006 | Media Streaming via TFRC: An Analytical Study of the Impact of TFRC on User-Perceived Media Quality · INFOCOM 2006 |
Methods — techniques the papers use, named apart from their topics
queueing model · 0.1markov-renewal-modulated deterministic process · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Media streaming via TFRC: An analytical study of the impact of TFRC on user-perceived media quality
Lisong Xu, Josh Helzer |
Comput. Networks | 2 |
| 2006 | Media Streaming via TFRC: An Analytical Study of the Impact of TFRC on User-Perceived Media QualityabstractTCP-Friendly Rate Control (TFRC) is being adopted in Internet standards for congestion control of various streaming media applications. In this paper, we consider the transmission of pre-recorded media from a server to a client by using TFRC, and analytically study the impact of TFRC on user-perceived media quality, which is roughly measured by calculating the rebuffering probability. A rebuffering probability is defined to be the probability that the total duration of all rebuffering events experienced by a user is longer than a certain threshold. Two approaches are presented to help an application determine an appropriate initial buffering delay and media playback rate in order to achieve a certain rebuffering probability under a given network condition. First, we derive a closed- form expression to approximate the average TFRC sending rate, which could be used as the maximum allowed playback rate of a media stream. Second, we develop a queueing model for a TFRC client buffer with the traffic described by a Markov-Renewal- Modulated Deterministic Process (MRMDP), and present an iterative method to calculate the rebuffering probability. Lisong Xu, Josh Helzer |
INFOCOM | 2 |