Optimal server bandwidth allocation for streaming multiple streams via P2P multicast

Mavlankar, Aditya; Noh, Jeonghun; Baccichet, P.; Girod, Bernd

doi:10.1109/mmsp.2008.4665124

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…Given a vector of utility functions U, a VCG mechanism chooses the allocation set x i ∈ C; there exists Nash Equilibrium, in such equilibrium that the elected setx is an optimal solution to optimization problem (4).…”

Section: Theoremmentioning

confidence: 99%

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An Auction Based Distribute Mechanism for P2P Adaptive Bandwidth Allocation

Zuo

Zhang

2013

IEICE Trans. Inf. & Syst.

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SUMMARYIn P2P applications, networks are formed by devices belonging to independent users. Therefore, routing hotspots or routing congestions are typically created by an unanticipated new event that triggers an unanticipated surge of users to request streaming service from some particular nodes; and a challenging problem is how to provide incentive mechanisms to allocation bandwidth more fairly in order to avoid congestion and other short backs for P2P QoS. In this paper, we study P2P bandwidth game-the bandwidth allocation in P2P networks. Unlike previous works which focus either on routing or on forwarding, this paper investigates the game theoretic mechanism to incentivize node's real bandwidth demands and propose novel method that avoid congestion proactively, that is, prior to a congestion event. More specifically, we define an incentivecompatible pricing vector explicitly and give theoretical proofs to demonstrate that our mechanism can provide incentives for nodes to tell the true bandwidth demand. In order to apply this mechanism to the P2P distribution applications, we evaluate our mechanism by NS-2 simulations. The simulation results show that the incentive pricing mechanism can distribute the bandwidth fairly and effectively and can also avoid the routing hotspot and congestion effectively.

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Section: Theoremmentioning

confidence: 99%

“…The high bandwidth demand of the P2P distribution applications, e.g., P2P VoD, P2P file sharing, P2P live streaming [1]- [4] in the Internet poses a significant technical challenge in resolving the bandwidth allocation problem. Irrational bandwidth allocation is a prominent issue in the open network environment for P2P applications.…”

Section: Introductionmentioning

confidence: 99%

An Auction Based Distribute Mechanism for P2P Adaptive Bandwidth Allocation

Zuo

Zhang

2013

IEICE Trans. Inf. & Syst.

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“…The aim is to maximize the quality of the video stream, without causing a waste of network resources. If a suitable scheduling algorithm is deployed, it is not only possible to reduce endto-end delay and achieve more robustness and adaptive resilience against errors [38], but also bandwidth distortion between peers across all channels can be minimized [39]. Moreover, in case peers drop some pieces for assurance of timely delivery of more significant pieces, video quality can be supported by optimized scheduling.…”

Section: Scheduling Algorithmsmentioning

confidence: 99%

Enabling resilient P2P video streaming: survey and analysis

et al. 2011

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Peer-to-Peer (P2P) techniques for multimedia streaming have been shown to be a good enhancement to the traditional client/server methods when trying to reduce costs and increase robustness. Due to the fact that P2P systems are highly dynamic, the main challenge that has to be addressed remains supporting the general resilience of the system. Various challenges arise when building a resilient P2P streaming system, such as network failures and system dynamics. In this paper, we first classify the different challenges that face P2P streaming and then present and analyze the possible countermeasures. We classify resilience mechanisms as either core mechanisms, which are part of the system, or as cross-layer mechanisms that use information from different communication layers, which might inflict additional costs. We analyze and present resilience mechanisms from an engineering point of view, such that a system engineer can use our analysis as a guide to build a resilient P2P streaming system with different mechanisms and for various application scenarios.

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“…We assume that several users are concurrently watching the video, however, each user enjoys independent control of the region to watch. In this section, we review our IRoI P2P streaming system, first introduced in [51,50], that can achieve P2P live multicast of IRoI video.…”

Section: P2p Multicasting For Interactive Region-of-interestmentioning

confidence: 99%

“…A framework for server bandwidth allocation among multiple P2P multicast streams has been proposed in a related thread of our research [50,52]. The framework accommodates multiple multicast trees per stream and can take into account the popularity, the rate-distortion operating point as well as the peer churn rate associated with each stream.…”

Section: Server Bandwidth Allocationmentioning

confidence: 99%

Video Streaming with Interactive Pan/Tilt/Zoom

Mavlankar

Girod

2010

Signals and Communication Technology

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High-spatial-resolution videos offer the possibility of viewing an arbitrary region-of-interest (RoI) interactively. The user can pan/tilt/zoom while watching the video. This chapter presents spatial-random-access-enabled video compression that encodes the content such that arbitrary RoIs corresponding to different zoom factors can be extracted from the compressed bit-stream. The chapter also covers RoI trajectory prediction, which allows pre-fetching relevant content in a streaming scenario. The more accurate the prediction the lower is the percentage of missing pixels. RoI prediction techniques can perform better by adapting according to the video content in addition to simply extrapolating previous moves of the input device. Finally, the chapter presents a streaming system that employs application-layer peer-to-peer (P2P) multicast while still allowing the users to freely choose individual RoIs. The P2P overlay adapts on-the-fly for exploiting the commonalities in the peers' RoIs. This enables peers to relay data to each other in real-time, thus drastically reducing the bandwidth required from dedicated servers.

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Optimal server bandwidth allocation for streaming multiple streams via P2P multicast

Cited by 6 publications

References 12 publications

An Auction Based Distribute Mechanism for P2P Adaptive Bandwidth Allocation

An Auction Based Distribute Mechanism for P2P Adaptive Bandwidth Allocation

Enabling resilient P2P video streaming: survey and analysis

Video Streaming with Interactive Pan/Tilt/Zoom

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