On the multi-objective stochastic optimal route of a mobile agent in multi-provider network QoS with uncertain parameters

Jianrong Hou, Pei-shiuan Huang, Xiaofeng Zhao
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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.
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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
在多提供商网络中,终端用户在一定的QoS约束下访问内容提供商提供的内容时,必须比较多个网络提供商的网络性能和成本,才能确定最优路由。移动代理收集相关网络信息。将网络中任意两个节点之间的时延和代价设为随机变量。在随机网络中,提出了具有成本期望和延迟值的最小模型。利用遗传算法计算了移动代理从服务提供商到内容提供商路由的最优解。在一个数据仿真的案例场景中,得到的结果显示了上述方法的运行有效性。
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