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
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;
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
DOI :
10.1109/ICCAE.2010.5451641
