DocumentCode :
1845407
Title :
On the multi-objective stochastic optimal route of a mobile agent in multi-provider network QoS with uncertain parameters
Author :
Hou, Jianrong ; Pei Huang ; Zhao, Xiaofeng
Author_Institution :
Sch. of Aetna Manage., Shanghai Jiaotong Univ., China
Volume :
2
fYear :
2005
fDate :
13-15 June 2005
Firstpage :
1172
Abstract :
In order to determine an optimal route, the network performance and cost of many network providers must be compared when end-user visit the content provided by content provider under the certain QoS constraints in multi-provider network. The correlative network information is collected by mobile agent. The delay and cost between any two nodes of network is set to be random variables. The minimum model with expectation of cost and delay value is presented in a stochastic network. The optimal solution of mobile agent route from service provider to content provider is computed and using genetic algorithms. In a case scenario of data simulation, the result obtained show operation effectiveness of the above approach.
Keywords :
computer network management; genetic algorithms; mobile agents; quality of service; stochastic processes; telecommunication network routing; QoS constraints; content provider; correlative network information; cost value; data simulation; delay value; expectation value objective; genetic algorithm; minimum model; mobile agent; multiobjective stochastic optimal route; multiprovider network QoS; network cost; network management; network performance; random variable; service provider; stochastic network; uncertain parameters; Computational modeling; Constraint optimization; Content management; Cost function; Delay estimation; Genetic algorithms; Intelligent networks; Mobile agents; Random variables; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Systems and Services Management, 2005. Proceedings of ICSSSM '05. 2005 International Conference on
Print_ISBN :
0-7803-8971-9
Type :
conf
DOI :
10.1109/ICSSSM.2005.1500182
Filename :
1500182
Link To Document :
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