Treffer: Performance analysis and improvement of overlay construction for peer-to-peer live streaming

Title:
Performance analysis and improvement of overlay construction for peer-to-peer live streaming
Source:
Recent advances in network modeling and simulationSimulation (San Diego, Calif.). 82(2):93-106
Publisher Information:
San Diego, CA: Simulation Councils, 2006.
Publication Year:
2006
Physical Description:
print, 20 ref
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science, University of Warwick, Coventry, CV4 7AL, United Kingdom
ISSN:
0037-5497
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.17882376
Database:
PASCAL Archive

Weitere Informationen

For single-source, single-tree-based peer-to-peer live media streaming, it is generally believed that a short (and wide) tree has a good comprehensive performance in terms of reliability and service delay. While the short tree directly benefits delay optimization, it is unclear whether such a structure maximizes tree reliability, which is sometimes more critical for a streaming Internet service.This article studies several prevalent overlay construction algorithms from the aspects of (1) service reliability, (2) service delay, and (3) protocol overhead. Two types of peer layout, bandwidth-ordered layout and time-ordered layout, are identified, and their performance is evaluated. The analytical results show that, by appropriately placing peers according to their time properties, the tree achieves a much higher degree of reliability than the depth-optimized tree. This finding motivates the design of a heap algorithm, which aims for combining the strengths of both bandwidth ordering and time ordering. It dynamically moves peers between difference layers of the tree according to a simple metric and gradually adjusts the tree toward a layout partially ordered in time and partially ordered in bandwidth. In so doing, the tree has advantages in both service reliability and delay. Extensive simulations show that this new algorithm achieves better comprehensive performance than existing algorithms.