DocumentCode :
1649381
Title :
Stochastic Optimization for a Class of Hierarchical Unstructured P2P System
Author :
ChenFeng, Xu ; Hongsheng, Xi ; Qi, Jiang ; Baoqun, Yin
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei
fYear :
2007
Firstpage :
693
Lastpage :
696
Abstract :
For a class of hierarchical unstructured P2P systems, a Markov Switching-Space model is introduced to describe their behavior of dynamic grouping. It is also formulated as a optimization problem based on Markov Decision Processes. And parameterized gradient algorithms are provided to optimize the performance, where two parameter reductions are mentioned. Following them are the corresponding simulations and discussions.
Keywords :
Markov processes; gradient methods; optimisation; peer-to-peer computing; Markov decision process; Markov switching-space model; hierarchical unstructured P2P system; parameterized gradient algorithm; stochastic optimization; Automation; Electronic mail; Peer to peer computing; Stochastic processes; Stochastic systems; Hierarchical Unstructered P2P; MDP; Supper Peer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
Type :
conf
DOI :
10.1109/CHICC.2006.4347255
Filename :
4347255
Link To Document :
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