DocumentCode
2692987
Title
On topology construction in layered P2P live streaming networks
Author
Runzhi Li ; Qishi Wu ; Yunyue Lin ; Xukang Lu ; Zongmin Wang
Author_Institution
Coll. of Info Eng., Zhengzhou Univ., Zhengzhou, China
fYear
2010
fDate
19-23 April 2010
Firstpage
599
Lastpage
606
Abstract
Peer-to-peer (P2P) overlay networks provide a highly effective and scalable solution to live media streaming systems that require the collective use of massively distributed network resources. A P2P media streaming architecture is typically built completely or partially upon a tree-structured network topology and the process of tree construction has a significant impact on the overall system performance. We build network cost models and formulate a specific type of topology construction problem, Maximum Average Bandwidth Spanning Tree (MABST), which aims at optimizing the system´s average stream rate. We prove that MABST is NP-complete by reducing from Hamiltonian Path problem and propose an efficient heuristic algorithm. The performance superiority of the proposed algorithm is justified by experimental results using a live media streaming system deployed in real networks and is also illustrated by an extensive set of simulations on simulated networks of various sizes in comparison with other methods based on a degree constraint or a greedy strategy.
Keywords
computational complexity; media streaming; peer-to-peer computing; telecommunication network topology; Hamiltonian Path problem; MABST; NP-complete; P2P media streaming; greedy strategy; layered P2P live streaming networks; maximum average bandwidth spanning tree; peer-to-peer overlay networks; topology construction; Bandwidth; Buffer storage; Delay; Jitter; Measurement; Network topology; Quality of service; Streaming media; System performance; Tree data structures; NP-complete; P2P; spanning tree;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Operations and Management Symposium (NOMS), 2010 IEEE
Conference_Location
Osaka
ISSN
1542-1201
Print_ISBN
978-1-4244-5366-5
Electronic_ISBN
1542-1201
Type
conf
DOI
10.1109/NOMS.2010.5488439
Filename
5488439
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