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Qing Wang 0047

dblp:97/6505-47 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Content delivery and video streaming
live streaming
0.212014
GENI Cinema: An SDN-Assisted Scalable Live Video Streaming Service · ICNP 2014
Routing and switching › traffic engineering
traffic steering
0.212014
GENI Cinema: An SDN-Assisted Scalable Live Video Streaming Service · ICNP 2014
Cloud and datacenter computing › cloud deployment model
distributed cloud
0.112014
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
YearPublicationVenuePosition
2014 GENI Cinema: An SDN-Assisted Scalable Live Video Streaming Service
abstract
This 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
ICNP1