Knapsack problem based piece-picking algorithms for layered content in peer-to-peer networks

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This document proposes using knapsack problem-based algorithms for piece-picking in peer-to-peer networks streaming layered content. It notes that the standard BitTorrent rarest-first algorithm is not optimal for streaming or layered video. The piece-picking problem is modeled as a knapsack problem, where the goal is to find the best tradeoff between smooth playback and high quality. Existing knapsack algorithms are evaluated for applicability and improved to account for peer-to-peer network requirements when selecting which video pieces for a client to download.

Tecnología Educación

KNAPSACK PROBLEM-BASED PIECE-KNAPSACK PROBLEM-BASED PIECE-
PICKING ALGORITHMS FOR LAYEREDPICKING ALGORITHMS FOR LAYERED
CONTENT INCONTENT IN
PEER-TO-PEER NETWORKSPEER-TO-PEER NETWORKS
Michael Eberhard
Hermann Hellwagner
Christian Timmerer
Institute of Information Technology
Klagenfurt University
Austria
Michael Eberhard 1Knapsack Problem-based Piece-Picking Algorithms
This work is supported in the context of the P2P-Next project (FP7-ICT-216217)
Tibor Szkaliczki
László Szobonya
eLearning Department
MTA Sztaki
Hungary

PIECE-PICKING ALGORITHMSPIECE-PICKING ALGORITHMS
 In a Bittorrent-based P2P system, the piece-picking
algorithm decides when to download which pieces
 Bittorrent’s piece-picking algorithm (rarest-first) is not
suitable for video streaming or layered content
 Require an algorithm that finds the best trade-off
between smooth playback and showing the best
possible quality
Michael Eberhard Knapsack Problem-based Piece-Picking Algorithms 2

KNAPSACK PROBLEM-BASED ALGORITHMSKNAPSACK PROBLEM-BASED ALGORITHMS
 The piece-picking problem is closely related to the
Knapsack problem in combinatorial optimization
 We analyzed existing algorithms for solving the
Knapsack problem and evaluated if they are applicable
for the piece-picking problem
 We tried to improve the Knapsack Problem-based
algorithms considering specific P2P requirements
Michael Eberhard Knapsack Problem-based Piece-Picking Algorithms 3

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Knapsack problem based piece-picking algorithms for layered content in peer-to-peer networks

1. KNAPSACK PROBLEM-BASED PIECE-KNAPSACK PROBLEM-BASED PIECE- PICKING ALGORITHMS FOR LAYEREDPICKING ALGORITHMS FOR LAYERED CONTENT INCONTENT IN PEER-TO-PEER NETWORKSPEER-TO-PEER NETWORKS Michael Eberhard Hermann Hellwagner Christian Timmerer Institute of Information Technology Klagenfurt University Austria Michael Eberhard 1Knapsack Problem-based Piece-Picking Algorithms This work is supported in the context of the P2P-Next project (FP7-ICT-216217) Tibor Szkaliczki László Szobonya eLearning Department MTA Sztaki Hungary

2. PIECE-PICKING ALGORITHMSPIECE-PICKING ALGORITHMS  In a Bittorrent-based P2P system, the piece-picking algorithm decides when to download which pieces  Bittorrent’s piece-picking algorithm (rarest-first) is not suitable for video streaming or layered content  Require an algorithm that finds the best trade-off between smooth playback and showing the best possible quality Michael Eberhard Knapsack Problem-based Piece-Picking Algorithms 2

3. KNAPSACK PROBLEM-BASED ALGORITHMSKNAPSACK PROBLEM-BASED ALGORITHMS  The piece-picking problem is closely related to the Knapsack problem in combinatorial optimization  We analyzed existing algorithms for solving the Knapsack problem and evaluated if they are applicable for the piece-picking problem  We tried to improve the Knapsack Problem-based algorithms considering specific P2P requirements Michael Eberhard Knapsack Problem-based Piece-Picking Algorithms 3

Knapsack problem based piece-picking algorithms for layered content in peer-to-peer networks

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