DocumentCode :
3208847
Title :
The Self-Adaptive Routing Evolution Model´s Research about Internetware of Architecture-centric System
Author :
Xia, Xiaona ; Cao, Baoxiang ; Yu, Jiguo
Author_Institution :
Sch. of Comput. Sci., Qufu Normal Univ., Rizhao, China
fYear :
2009
fDate :
17-19 Dec. 2009
Firstpage :
485
Lastpage :
491
Abstract :
In order to achieve the self-adaptive architecture-centric services\´ selection, this paper put forward the design principle of topology routing about service nodes, a network structure is built that agent is viewed as the basic Internetware granularity unit; By virtue of P2P environment such as open, dynamic, varied and more controllable evolution character, it is done to expand the self-adaptive learning ability about agent\´s belief, decision-making and intention, then gets virtual derivative agent\´s copy. About the granularity collection of service unit, it builds self-adaptive multiple Internetware engine for architecture-centric system, in order to get the co-routing evolution compounding about "system-facet-peer", which can reduce the synchronous flexible processing steps and enhance multi-level pervasive controlling and decision-making right of architecture-centric main ability.
Keywords :
Internet; multi-agent systems; peer-to-peer computing; telecommunication network routing; telecommunication network topology; Internetware granularity unit; P2P environment; architecture-centric system; decision making; self-adaptive learning ability; self-adaptive routing evolution model research; service nodes; system-facet-peer; topology routing; virtual derivative agent copy; Computer architecture; Computer science; Control systems; Decision making; IP networks; Logic; Network topology; Routing; Search engines; Web and internet services; Agent; Architecture-centric; Co-Routing; Evolution; Internetware; P2P; Self-adaptive;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontier of Computer Science and Technology, 2009. FCST '09. Fourth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3932-4
Electronic_ISBN :
978-1-4244-5467-9
Type :
conf
DOI :
10.1109/FCST.2009.14
Filename :
5392875
Link To Document :
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