DocumentCode :
1866098
Title :
A Collaborative Application Framework Based on the P2P Grid Model
Author :
Xia, Yingjie ; Zhu, Mingzhe ; Zhou, Nengneng
Author_Institution :
Hangzhou Inst. of Service Eng., Hangzhou Normal Univ., Hangzhou, China
fYear :
2010
fDate :
9-10 Jan. 2010
Firstpage :
63
Lastpage :
66
Abstract :
There are many existed collaborative frameworks, e.g. Narada, Overcast, Can, which are used in various computer supported work. In this paper we deliver a collaborative application framework based on a specific P2P grid model. This framework is designed to solve the typical problems in the traditional collaborative applications, such as the bottleneck restriction of C/S architecture and the related potential security harassments. Therefore we build a hierarchical model of both grid and P2P networks which correspond to global network and local group respectively in the collaborative application framework. The experiments show that the simulated system using the framework is fast to achieve collaboration status and robust for the network exceptions, and also keeping the whole network load-balance. In conclusion this framework exploits the P2P Grid model to implement efficient, stable and secure collaborative applications.
Keywords :
grid computing; groupware; peer-to-peer computing; C/S architecture; P2P grid model; P2P networks; collaborative application framework; computer supported work; grid networks; network load balance; potential security; simulated system; Application software; Collaborative work; Computer architecture; Data engineering; Data mining; International collaboration; Robustness; Routing; Scalability; Tree data structures; P2P grid; collaboration; global network; local group;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4244-5397-9
Electronic_ISBN :
978-1-4244-5398-6
Type :
conf
DOI :
10.1109/WKDD.2010.52
Filename :
5432733
Link To Document :
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