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Full-Text Articles in Physical Sciences and Mathematics
Variable Neighbor Selection In Live Peer-To-Peer Multimedia Streaming Networks, Jagannath Ghoshal, Miao Wang, Lisong Xu, Byrav Ramamurthy
Variable Neighbor Selection In Live Peer-To-Peer Multimedia Streaming Networks, Jagannath Ghoshal, Miao Wang, Lisong Xu, Byrav Ramamurthy
Miao Wang
Data-driven (or swarming based) streaming is one of the popular ways to distribute live multimedia streaming traffic over Peer-to-Peer (P2P) networks. The efficiency and user satisfaction highly depend on the constructed overlays. The common neighbor selection algorithms in existing overlay construction schemes usually randomly select a fixed number of neighbors which satisfy the selection requirements, such as end-to-end delay or a peer's sojourn time. However, this fixed random neighbor-selection algorithm (FRNS) neglects the peers' upload bandwidth heterogeneity and therefore, the upload bandwidth cannot be efficiently used. In this paper, we propose a variable random neighbor-selection (VRNS) scheme to alleviate the …
Network Architectures For Live Peer-To-Peer Media Streaming, Jagannath Ghoshal, Lisong Xu, Byrav Ramamurthy, Miao Wang
Network Architectures For Live Peer-To-Peer Media Streaming, Jagannath Ghoshal, Lisong Xu, Byrav Ramamurthy, Miao Wang
Miao Wang
Peer-to-Peer (P2P) media streaming networks, motivated by the huge success of P2P file downloading networks, have recently attracted a lot of research interest. However, it is challenging to design P2P media streaming networks because of the stringent time constraints on the delivered media streams, which require more efficient and resilient overlay architectures. In this paper, we focus on live P2P media streaming networks, a promising application flourishing in the Internet and which requires the distribution of live (not stored) multimedia content to subscribers. We review the architectures for live P2P media streaming networks, and consider both overlay topologies and their …
Channel-Aware Peer Selection In Multi-View Peer-To-Peer Multimedia Streaming, Miao Wang, Lisong Xu, Byrav Ramamurthy
Channel-Aware Peer Selection In Multi-View Peer-To-Peer Multimedia Streaming, Miao Wang, Lisong Xu, Byrav Ramamurthy
Miao Wang
Motivated by the success of the Picture in Picture feature of the traditional TV, several commercial Peer-to-Peer Multi-Media Streaming (P2PMMS) applications now support the multi-view feature, with which a user can simultaneously watch multiple channels on its screen. This paper considers the peer selection problem in multi-view P2PMMS. This problem has been well studied in the traditional single-view P2PMMS; however, it becomes more complicated in multi-view P2PMMS, mainly due to the fact that a peer watching multiple channels joins multiple corresponding overlays. In this paper, we propose a novel peer selection algorithm, called Channel-Aware Peer Selection (CAPS), where a peer …
A Flexible Divide-And-Conquer Protocol For Multi-View Peer-To-Peer Live Streaming, Miao Wang, Lisong Xu, Byrav Ramamurthy
A Flexible Divide-And-Conquer Protocol For Multi-View Peer-To-Peer Live Streaming, Miao Wang, Lisong Xu, Byrav Ramamurthy
Miao Wang
Multi-view peer-to-peer (P2P) live streaming systems have recently emerged, where a user can simultaneously watch multiple channels. Previous work on multi-view P2P streaming solves the fundamental inter-channel bandwidth competition problem at the individual peer level, and thus can be used with very limited types of streaming protocols. In this paper, we propose a new protocol for multi-view P2P streaming, called Divide-and-Conquer (DAC), which efficiently solves the inter-channel bandwidth competition problem using a divide-and-conquer strategy at the channel level, and thus is flexible to work with various streaming protocols. This makes DAC more suitable for upgrading current single-view P2P live streaming …
Understanding User Generated Content Characteristics : A Hot-Event Perspective, Miao Wang, Guodong Li, Jie Feng, Lisong Xu, Byrav Ramamurthy, Wei Li, Xiaohong Guan
Understanding User Generated Content Characteristics : A Hot-Event Perspective, Miao Wang, Guodong Li, Jie Feng, Lisong Xu, Byrav Ramamurthy, Wei Li, Xiaohong Guan
Miao Wang
Nowadays, millions of Internet users watch and upload a large number of videos on User Generated Content (UGC) sites (e.g., Youtube) everyday. Moreover, online videos about hot events, such as breaking news and Olympic games, attract lots of users. In this paper, we study the characteristics of hot-event videos by collecting video traces of the largest UGC site in China for 28 days. We first empirically study statistical properties of such videos and find that hot-event videos contribute a large number of views, even though the total number of hotevent videos is relatively small. In addition, there exist extremely active …
Linear Programming Models For Multi-Channel P2p Streaming Systems, Miao Wang, Lisong Xu, Byrav Ramamurthy
Linear Programming Models For Multi-Channel P2p Streaming Systems, Miao Wang, Lisong Xu, Byrav Ramamurthy
Miao Wang
Most of the commercial P2P video streaming deployments support hundreds of channels and are referred to as multichannel systems. Measurement studies show that bandwidth resources of different channels are highly unbalanced and thus recent research studies have proposed various protocols to improve the streaming qualities for all channels by enabling cross-channel cooperation among multiple channels. However, there is no general framework for comparing existing and potential designs for multi-channel P2P systems. The goal of this paper is to establish tractable models for answering the fundamental question in multi-channel system designs: Under what circumstances, should a particular design be used to …