| 摘要: |
| 在多提供商网络环境中,端用户在访问内容提供商提供的内容时,在一定的QoS约束下,服务提供商需要对多个网络提供商的网络性能和价格进行比较,为端用户确定一个最优路径.基于移动代理进行网络信息的采集,将网络延迟和成本均设为随机变量,在随机网络中建立了一个费用成本和延迟时间双重期望值目标的最小化模型,应用遗传算法对移动代理从服务提供商到内容提供商的路径进行了最优化求解.仿真结果表明了算法的有效性. |
| 关键词: 网络管理 移动代理 多提供商网络 期望值目标 遗传算法 |
| DOI： |
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| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.69933010 (国家自然科学基金); the Natural Science Foundation of Shanxi Province of China under Grant No.2001x33 (陕西省自然科学基金) |
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| Searching the Optimal Route of a Mobile Agent in Multi-Provider Network Environment |
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ZHAO Hui,HOU Jian-Rong,SHI Bai-Le
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| Abstract: |
| In order to determine an optimal route, network performance and cost of many network providers must be compared when end-users visit the content provided by content providers under 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 random variables. A minimum model with the expectation of cost and delay value is presented in a stochastic network. The optimal solution of the mobile Agent route from a service provider to a content provider is computed by using genetic algorithms. The obtained simulation results show the effectiveness of the above approach. |
| Key words: network management mobile Agent multi-provider network expectation value objective genetic algorithm |
