Demo Data from VLDB 2026 / reviewers in the wild / expert
JungAh Hong
dblp:149/9289
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Content delivery and video streaming
adaptive video streaming |
0.2 | 1 | 2014 | Enabling near real-time central control for live video delivery in CDNs · SIGCOMM 2014 |
Content delivery and video streaming › live streaming
live video delivery |
0.2 | 1 | 2014 | Enabling near real-time central control for live video delivery in CDNs · SIGCOMM 2014 |
Content delivery and video streaming › quality of experience
video quality optimization |
0.2 | 1 | 2014 | Enabling near real-time central control for live video delivery in CDNs · SIGCOMM 2014 |
Cloud and datacenter computing
datacenter network |
0.1 | 1 | 2014 | Enabling near real-time central control for live video delivery in CDNs · SIGCOMM 2014 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Enabling near real-time central control for live video delivery in CDNsabstractUser-created live video streaming is marking a fundamental shift in the workload of live video delivery. However, live-video-specific challenges and the viral nature of user-created content makes it difficult for current CDNs to deliver 1) high-quality, 2) highly-scalable, and 3) highly-responsive service. We present the design and implementation of VDN, a new control plane for CDNs designed to optimize the delivery of live streams within the CDN. VDN satisfies these requirements by using two approaches: 1) optimizing directly for video quality (not just throughput) and 2) combining centralized control with local control, allowing VDN to adapt to traffic dynamics and network failures at fine timescales. Matthew K. Mukerjee, JungAh Hong, Junchen Jiang, David Naylor, Dongsu Han, Srinivasan Seshan, Hui Zhang 0001 |
SIGCOMM | 2 |