DocumentCode
2160489
Title
A P2P resource search model based on Ant Colony Optimization
Author
Zhou, Lian-ying ; Sun, Long-ji
Author_Institution
Sch. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., Zhenjiang, China
Volume
4
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
433
Lastpage
436
Abstract
Aiming at the problems of exiting P2P network, such as low search efficiency, huge message of packets, this paper propose a P2P resource search mechanism based on Ant Colony Optimization (ACO) algorithm. It directs the searching ants to the domains with higher reputation degree in the inter-domain resource query. The simulation shows that the method is effective improving the success of resource hit ratio and reduce the message of packets, and it has certain practicality and expansibility.
Keywords
optimisation; peer-to-peer computing; search problems; P2P network; P2P resource search model; ant colony optimization; ant colony optimization algorithm; expansibility; low search efficiency; practicality; Algorithm design and analysis; Ant colony optimization; Computer science; Convergence; Floods; History; Internet; Network topology; Stability; Sun; Ant Colony Optimization; Peer repution; Peer-to-peer; Resouse repution; Super-peer;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451641
Filename
5451641
Link To Document