DocumentCode
2825222
Title
The topology optimization of controlling Hubs in P2P networks
Author
Wu, Shishun ; Xu, Kaihua ; Liu, Yuhua
Author_Institution
Dept. of Comput. Sci., Huazhong Normal Univ., Wuhan, China
Volume
3
fYear
2010
fDate
21-24 May 2010
Abstract
With the improvement of the P2P network traffic proportion accounted for the total flow, P2P networks actually had become an important component of next generation Internet. In P2P network, the existence of Hubs lead to the reducing of the ability of anti-coordinated attack in entire system, and it makes the system become awfully fragile. In this paper, aims to the current phenomenon of the Hubs in P2P network, further studies were conducted. Based on the ideas of the hierarchical processing of the predecessors this paper proposes a modified method based on hierarchical processing, it avoids the conformation of Hubs through optimizing the network topology, reinforcing mechanism is also introduced. The simulations results validate that this method can effectively control the conformation of Hubs, enhance the ability of anti-coordinated attack of P2P network, so it effectively enhances the robustness of the network, and play a role in load balance, improve the utilization of the system.
Keywords
Internet; computer network security; peer-to-peer computing; resource allocation; telecommunication network topology; telecommunication traffic; P2P network; anticoordinated attack; controlling hubs; hierarchical processing; load balance; network topology; network traffic proportion; next generation Internet; reinforcing mechanism; topology optimization; total flow; Communication system traffic control; Computer science; Educational institutions; Humans; IP networks; Network servers; Network topology; Next generation networking; Optimization methods; Proportional control; P2P network; hierarchical; hubs; topology optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-5821-9
Type
conf
DOI
10.1109/ICFCC.2010.5497407
Filename
5497407
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