DocumentCode :
2986567
Title :
An Adaptive Service Composition Performance Guarantee Mechanism in Peer-to-Peer Network
Author :
Qu, Haitao ; Song, Meina ; Wang, Rihua ; Qu, Wu ; Luo, Xiaoxiang ; Zhao, Peng ; Song, Junde
Author_Institution :
ICT&SSME Center, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2009
fDate :
18-20 Jan. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Service composition is becoming a hot research point in recent years, especially in distributed peer-to-peer (P2P) network. However, how to guarantee the high-quality composition service performance becomes the key technology and difficulty in P2P network, which draws lots of attention in computer research field. According to the characteristics of distributed network, an adaptive service composition performance guarantee mechanism in P2P network is presented. Firstly, the composition services are divided into preferred service and backup one; secondly, BP neural network is introduced to detect and evaluate the service performance exactly; finally, the backup service will adaptively replace the preferred one when the preferred composition service performance is less than the threshold value. Except that, the half-time window punishment mechanism is introduced to increase the punishment to the low-quality service and encourage users to provide more high-quality one, which further improves the service composition performance in P2P network. The simulations verify our method to be effective and enrich the proposed theory.
Keywords :
backpropagation; neural nets; peer-to-peer computing; quality of service; BP neural network; P2P network; adaptive service composition performance guarantee mechanism; backpropagation; distributed peer-to-peer network; half-time window punishment mechanism; low-quality service; Adaptive systems; Application software; Computer networks; Distributed computing; High performance computing; Neural networks; Peer to peer computing; Performance evaluation; Service oriented architecture; Telecommunication computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5272-9
Type :
conf
DOI :
10.1109/CNMT.2009.5374543
Filename :
5374543
Link To Document :
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