{"title":"参数不确定的多提供商网络QoS中移动agent的多目标随机最优路径研究","authors":"Jianrong Hou, Pei-shiuan Huang, Xiaofeng Zhao","doi":"10.1109/ICSSSM.2005.1500182","DOIUrl":null,"url":null,"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.","PeriodicalId":389467,"journal":{"name":"Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005.","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the multi-objective stochastic optimal route of a mobile agent in multi-provider network QoS with uncertain parameters\",\"authors\":\"Jianrong Hou, Pei-shiuan Huang, Xiaofeng Zhao\",\"doi\":\"10.1109/ICSSSM.2005.1500182\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":389467,\"journal\":{\"name\":\"Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005.\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSSM.2005.1500182\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSSM.2005.1500182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the multi-objective stochastic optimal route of a mobile agent in multi-provider network QoS with uncertain parameters
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.