Title :
A Load Balance Algorithm for Hybrid P2P Network Model
Author :
Xiao-ling, Fu ; Ying, Xu
Author_Institution :
Dept. of Comput. Sci. & Technol., North China Univ. of Technol., Beijing
Abstract :
This paper presents a dynamic feedback adaptive scheduling algorithm to deal with the load balance of Super Peers in hybrid P2P network. The algorithm applies the adaptive peers´ distribution login request by weighted rotation, and adjusts the Super Peers´ scheduling sequence dynamically with genetic algorithms to make the Super Peers load in system tending to a best balanced state.
Keywords :
genetic algorithms; peer-to-peer computing; resource allocation; scheduling; Super Peers; distribution login request; dynamic feedback adaptive scheduling algorithm; genetic algorithms; hybrid P2P network model; load balance algorithm; Adaptive scheduling; Clustering algorithms; Computer networks; Control systems; Dynamic scheduling; Feedback; Genetic algorithms; Load management; Network topology; Scheduling algorithm; Dynamic Feedback; Load Balancing; P2P;
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
DOI :
10.1109/CCCM.2008.325
