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JungAh Hong

dblp:149/9289 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Content delivery and video streaming
adaptive video streaming
0.212014
Enabling near real-time central control for live video delivery in CDNs · SIGCOMM 2014
Content delivery and video streaming › live streaming
live video delivery
0.212014
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
0.212014
Enabling near real-time central control for live video delivery in CDNs · SIGCOMM 2014
Cloud and datacenter computing
datacenter network
0.112014
Enabling near real-time central control for live video delivery in CDNs · SIGCOMM 2014
YearPublicationVenuePosition
2014 Enabling near real-time central control for live video delivery in CDNs
abstract
User-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
SIGCOMM2