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Published byEric Horton Modified over 10 years ago
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Layered Video for Incentives in P2P Live Streaming
Zhengye Liu Yanming Shen Shivendra Panwar Keith W. Ross Yao Wang Polytechnic University, Brooklyn, NY, USA
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File Distribution: BitTorrent
tracker obtain list of peers trading chunks peer
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BitTorrent: Incentive
Question: What is the incentive to provide higher upload rate? Answer: To get file faster Implementation: Tit-for-tat mechanism. Search for trading partners that upload to you at higher rates
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BitTorrent: Trading Alice measures rate she receives bits from each neighbor. Alice sends chunks to four best neighbors. Every 10 seconds, she recalculates rates & possibly modifies set of four peers. Every 30 seconds, she “optimistically unchokes” random peer.
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BitTorrent: Trading (1) Alice “optimistically unchokes” Bob
(2) Alice becomes one of Bob’s top-four providers; Bob reciprocates (3) Bob becomes one of Alice’s top-four providers With higher upload rate, can find better trading partners & get file faster!
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Basic idea P2P live streaming
tracker obtain list of peers peer trade chunks Source of video
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Incentives for Live Streaming
Why upload at all? Currently no tit-for-tat mechanism in existing deployments Is tit-for-tat a sufficient incentive? No! Why provide more upload bandwidth if you’re receiving the video at the full rate? Our main idea: If you upload more, you get better quality.
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Layered Video Single layer Video Layered video
All peers receive the same video quality Layered video A video is encoded into several layers More layers introduce better video quality Nested dependence between layers Higher upload contribution results in better received video quality
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Layered Video w/ Tit-for-Tat
Generate multiple layers, each divided into layer chunks (LCs) Exchange LCs Measure download rates from neighbors Reciprocate to neighbors based on their contributions
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Supplier & Receiver Side Schedulers
Supplier: How to allocate uplink bandwidth to neighbors? BitTorrent roughly gives each unchoked neighbor an equal share. Receiver: How to maximize the received video quality Multiple LCs are to be requested
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Supplier Side Scheduler
Goal: Supply neighbors in proportion to their contributions Measure the download rates, dk from neighbor k Maintain separate FIFO rqst queue for each neighbor Serve neighbor k next with probability:
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Receiver Side State Request LCs at beginnings of rounds
Can request in a window up to B chunks into future
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Receiver Side Scheduler (1)
Goal: Maximize the received video quality Which LC should be requested first? Assign heuristic “importance” to each LC, taking into account: Layer index Playback deadline Rareness Request LCs from the highest importance to the lowest importance
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Receiver Side Scheduler (2)
Where to send the request for the LC? Estimate the current delay from each neighbor: where mk is # of outstanding requests, r is video rate, Δis chunk length Send request to neighbor that will send it first As long as it can come before deadline
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Performance Study: Schemes
Single layer video without incentives (Single-Layer) Layered video without incentives (Layered) MDC with incentives (MDC-Incent) Layered video with incentives (Layered-Incent)
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System Setup Peers Video Overlay
Ethernet peer: 1000 kbps; cable peer: 300 kbps; free-rider: 0 kbps Fix ratio of Ethernet peers to cable peers: 3:7; change percentage of free-riders Video Foreman video sequence (CIF, 30 frames/sec) SVC video codec 20 layers, with each layer having a rate of 50 kbps Overlay Each peer has 14 to 18 neighbors Randomly replace worst neighbor every 30 seconds
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Performance Metrics Useful rate received (R) Discontinuity ratio (α)
The bits that are useful for video decoding Discontinuity ratio (α) The percentage of time that a video is undecodable and unplayable Average PSNR (Q) Received video quality
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Differentiated Service
Peers with high upload contributions receive better video quality; Peers with low contributions receive relatively low but still acceptable video quality; Free-riders receive unacceptable video quality.
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Free-Riding Received video quality does not degrade with free-riding
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Conclusion A decentralized incentive mechanism for video streaming
Performance studies show that the scheme can Provide differentiated video quality commensurate with a peer’s contribution Largely prevents free-riders
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