Environmentally Adaptable Agents Coping with Complexity of Network Software

该研究项目对环境适应性代理的典型案例进行了研究，包括用于虚拟备用路径预留的多代理、用于多播树预留的多代理、用于汽车控制调度的不精确计算以及自主分层路由，并针对它们对网络环境变化的适应性进行了评估。接下来，我们提出了一种基于多智能体的多播树预留方法，该方法能够自适应地更新最优的组播树。第三，提出了一种汽车控制动态调度方法，将不精确计算的概念应用到汽车控制调度中。最后，我们提出了一种结合链路状态路由和全有序路由的自主分层路由协议。

This research project investigated typical case studies on environmentally adaptable agents such as multiagents for reservation of virtual backup paths, multiagents for reservation of multiple multicast trees, an imprecise computation for scheduling of automobile control and an autonomous hierarchical routing, and evaluated them with respect to adaptability to change of network environments.Concretely, first, we proposed a multiagent based method for reservation of virtual backup paths, which efficiently obtains optimal backup paths. Next, we proposed a multiagent based method for reservation of multiple multicast trees, which adaptively updates optimal multicast trees. Thirdly, we proposed a dynamic method for scheduling of automobile control, to which the concept of imprecise computation is applied. Finally, we proposed a protocol for autonomous hierarchical routing, which combines the link state routing and the totally ordering routing.