一种可演化网络的研究与实践

Research and Practice on Evolutionary Networks

针对目前的互联网难以满足不断发展的应用需求问题,提出了一种新的可演化网络的模型.可演化网络可以根据网络运行的状态和网络应用的特征进行自主调整,由此改变自身的算法,以提供不同的服务质量,从而使得网络能够应对多变的应用环境.该网络的演化分为3个层次:模块运行参数的自调节、网络模块的自配置和网络节点间的协同工作.同时,设计了可演化网络的体系结构,实现了基于软件的原型系统,讨论了系统实现的关键技术和提高系统性能的优化方法.应用实验表明,可演化网络能够及时适应网络状况的变化,更加平稳、高效地提供网络服务.

To tackle the problem that the internet can not adapt to the requirements of ever-changing and wide applications, a novel evolutionary network model is proposed. The evolutionary network can adapt its behaviors according to the network conditions and status by adaptively changing its control parameters and control algorithms to achieve different QoS for different applications. Three levels of evolution including parameter adaptation, network module reconstruction, and collaboration among network nodes are presented. The architecture of the evolutionary networks is designed and a software-based prototype is developed. Key technologies and optimization methods for performance are studied. Experiment results show that the evolutionary network can adapt to the dynamic changes in network conditions and provide stable and efficient network service.