Distributed throughput optimization over P2P mesh networks using diffusion adaptation

Author

Towfic, Zaid J. ; Chen, Jianshu ; Sayed, Ali H.

Author_Institution

Dept. of Electr. Eng., Univ. of California, Los Angeles, Los Angeles, CA, USA

fYear

2012

fDate

10-15 June 2012

Firstpage

648

Lastpage

652

Abstract

This work develops a decentralized adaptive strategy for throughput maximization over peer-to-peer (P2P) networks. The adaptive strategy can cope with changing network topologies, is robust to network disruptions, and does not rely on central processors. The algorithm is obtained as a special case of a more general diffusion strategy for the distributed solution of optimization problems with constraints. Simulation results illustrate how the proposed technique is competitive with other methods.

Keywords

optimisation; peer-to-peer computing; telecommunication network topology; P2P mesh network; decentralized adaptive strategy; diffusion adaptation; diffusion strategy; distributed throughput optimization; network topology; peer-to-peer network; throughput maximization; Adaptive systems; Optimization; Peer to peer computing; Servers; Streaming media; Throughput; Vectors; P2P networks; barrier function; diffusion adaptation; distributed processing; mesh networks; throughput maximization;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (ICC), 2012 IEEE International Conference on

Conference_Location

Ottawa, ON

ISSN

1550-3607

Print_ISBN

978-1-4577-2052-9

Electronic_ISBN

1550-3607

Type

conf

DOI

10.1109/ICC.2012.6364457

Filename

6364457