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Scheduling is essential in peer-to-peer (P2P) video-on-demand (VoD) applications to obtain desirable user experience and high sharing efficiency. Existing systems and proposals largely utilize scheduling mechanisms that are periodical in nature. We refer these as time-driven scheduling. In this paper we argue that the time-driven scheduling algorithm is not efficient for P2P VoD due to its inadequate...
In the existing data fetching algorithms for P2P streaming systems, the peers usually fetch data independently, leading to huge inter-AS traffic (AS: autonomous system). This paper proposes CoFetch, a collaborative fetching algorithm for P2P live streaming systems to decrease inter-AS traffic. In CoFetch, to avoid that all peers fetch the same data from inter-AS connection, instead of aggressively...
In P2P live streaming system, service will be degraded when thousands of semi-riders, peers with very limited outbound bandwidth, concurrently join. Due to the limited outbound bandwidth, a semi-rider peer always gets more data than its contributions. In this paper, we propose VolunteerLive, an incentive-based P2P live streaming model, to address this issue. In VolunteerLive, these asymmetrical users...
Peer-to-Peer (P2P) networks have been shown to be a promising approach to provide large-scale Video on Demand (VoD) services over Internet for its potential high scalability. However, for a normal peer, how to efficiently schedule media data to multiple asynchronous peers for VoD services in such networks remains a major challenge. Hereby we propose a hybrid scheduling scheme for data dissemination...
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