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

KNAPSACK PROBLEM-BASED PIECE-KNAPSACK PROBLEM-BASED PIECE-PICKING ALGORITHMS FOR LAYERED PICKING ALGORITHMS FOR LAYERED

CONTENT IN CONTENT 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