Shijun Shen

dblp:73/9826 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2013
—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
2 papers
Content delivery and video streaming · 100%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Storage systems · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Content delivery and video streaming
peer-to-peer streaming
0.322013
Cinematic-Quality VoD in a P2P Storage Cloud: Design, Implementation and Measurements · IEEE J. Sel. Areas Commun. 2013
Novasky: Cinematic-quality VoD in a P2P storage cloud · INFOCOM 2011
Content delivery and video streaming
video-on-demand
0.322013
Cinematic-Quality VoD in a P2P Storage Cloud: Design, Implementation and Measurements · IEEE J. Sel. Areas Commun. 2013
Novasky: Cinematic-quality VoD in a P2P storage cloud · INFOCOM 2011
Storage systems › distributed storage
p2p storage cloud
0.322013
Cinematic-Quality VoD in a P2P Storage Cloud: Design, Implementation and Measurements · IEEE J. Sel. Areas Commun. 2013
Novasky: Cinematic-quality VoD in a P2P storage cloud · INFOCOM 2011
Storage systems › distributed storage
peer-to-peer storage
0.322013
Cinematic-Quality VoD in a P2P Storage Cloud: Design, Implementation and Measurements · IEEE J. Sel. Areas Commun. 2013
Novasky: Cinematic-quality VoD in a P2P storage cloud · INFOCOM 2011
Content delivery and video streaming
quality of experience
0.012013
Cinematic-Quality VoD in a P2P Storage Cloud: Design, Implementation and Measurements · IEEE J. Sel. Areas Commun. 2013
Content delivery and video streaming › caching
video caching
0.012011
Novasky: Cinematic-quality VoD in a P2P storage cloud · INFOCOM 2011

Methods — techniques the papers use, named apart from their topics

trace-driven measurement · 0.3system implementation · 0.3p2p storage · 0.2erasure coding · 0.2caching strategy · 0.1caching strategies · 0.1
YearPublicationVenuePosition
2013 Cinematic-Quality VoD in a P2P Storage Cloud: Design, Implementation and Measurements
abstract
In this paper, we explore the design space and practice of a new peer-to-peer (P2P) storage cloud, which is capable of replicating, refreshing and on-demand streaming of cinematic-quality video streams, in a decentralized fashion using local storage spaces of end users. We identify key design challenges and tradeoffs in such a P2P storage cloud, and how these are addressed by making informed design choices in a step-by-step fashion. Following our design choices, we have implemented a real-world Video-on-Demand (VoD) system with over 100,000 lines of code, called Novasky, which features new coding-aware peer storage replacement and server push-to-peer strategies, in order to maintain media availability and to balance the system-wide supply-demand relationship in the P2P storage cloud. Since September 2009, it has been deployed in the Tsinghua University campus network, attracting 10,000 users during our measurement studies from February to July 2010, and providing over 1,000 cinematic-quality video streams with bit rates of 1 - 2 Mbps. Based on real-world traces collected over 6 months, we show that Novasky can achieve rapid startups within 4 - 9 seconds and extremely short seek latencies within 3 seconds, while maintaining reasonable operational overhead and server bandwidth costs. Our general understanding on the design tradeoffs of P2P storage cloud and practical experiences with Novasky may bring valuable guidelines to future designs of production-quality P2P storage cloud systems.
Fangming Liu, Shijun Shen, Bo Li 0001, Baochun Li, Hai Jin 0001
IEEE J. Sel. Areas Commun.2
2011 Novasky: Cinematic-quality VoD in a P2P storage cloud
abstract
In this paper, we present Novasky, a real-world Video-on-Demand (VoD) system capable of delivering cinematic-quality video streams to end users. The foundation of the Novasky design is a peer-to-peer (P2P) storage cloud, storing and refreshing media streams in a decentralized fashion using local storage spaces of end users. We present our design objectives in Novasky, and how these objectives are achieved using a collection of unique mechanisms, with respect to caching strategies, coding mechanisms, and the maintenance of the supply-demand relationship when it comes to media availability in the P2P storage cloud. The production Novasky system has been implemented with over 100,000 lines of code. It has been deployed in the Tsinghua University campus network, operational since September 2009, attracting 10,000 users to date, and providing over 1,000 cinematic-quality video streams with bit rates of 1 - 2 Mbps. Based on real-world traces collected over 6 months, we show that Novasky can achieve rapid startups within 4 - 9 seconds, and extremely short seek latencies within 3 seconds. Our empirical experiences with Novasky may bring valuable insights to future designs of production-quality P2P storage cloud systems.
Fangming Liu, Shijun Shen, Bo Li 0001, Baochun Li, Sanli Li
INFOCOM2