Demo Data from EDBT 2026 / reviewers in the wild / expert
Qing Wang 0047
dblp:97/6505-47
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author
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 |
Routing and switching · 50% Content delivery and video streaming · 50% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Content delivery and video streaming
live streaming |
0.2 | 1 | 2014 | GENI Cinema: An SDN-Assisted Scalable Live Video Streaming Service · ICNP 2014 |
Routing and switching › traffic engineering
traffic steering |
0.2 | 1 | 2014 | GENI Cinema: An SDN-Assisted Scalable Live Video Streaming Service · ICNP 2014 |
Cloud and datacenter computing › cloud deployment model
distributed cloud |
0.1 | 1 | 2014 | GENI Cinema: An SDN-Assisted Scalable Live Video Streaming Service · ICNP 2014 |
Methods — techniques the papers use, named apart from their topics
openflow · 0.4SDN · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | GENI Cinema: An SDN-Assisted Scalable Live Video Streaming ServiceabstractThis paper introduces GENI Cinema (GC), a system that provides a scalable live video streaming service based on dynamic traffic steering with software defined networking (SDN) and demand driven instantiation of video relay servers in NSF GENI's distributed cloud environments. While the service can be used to relay a multitude of video content, its initial objective is to support live video streaming of educational content such as lectures and seminars among university campuses. Users on any campus would bootstrap video upload or download via a public Web portal and, for scalability, have the video delivered seamlessly across the network over one or multiple paths selected and dynamically controlled by GC. The architecture aims to provide a framework for addressing several well-known limitations of video streaming in today's Internet, where little control is available for controlling forwarding paths of on demand live video streams. GC utilizes GENI's distributed cloud servers to host on-demand video servers/relays and its Open Flow SDN to achieve seamless video upload/download and optimization of forwarding paths in the network core. This paper presents the architecture and an early prototype of the basic GC framework, together with some initial performance measurement results. Qing Wang 0047, Ryan Izard, Benton Kribbs, Joseph Porter, Kuang-Ching Wang, Aditya Prakash 0004, Parameswaran Ramanathan |
ICNP | 1 |