基于仿生学的宽带移动互联网的自愈机制研究

Broadband mobile Internet is the internet which makes the mobile communication network as its access, its content relates to the Internet and mobile networks in two major areas, and with the increasing scale of the network, the reliability will be a huge challenge its faces. Self-healing technology is the key to solve this problem, namely researched on how to automatically recover business from faults under the case of without too much human intervention.This project will construct the self-healing mechanism with telecom operation ability for broadband mobile Internet service. Due to multiple services, distributed control characteristics of broadband mobile Internet, Adaptive will become the main feature to meet business needs, Considering the adaptive of the organism itself, applying the glucose equilibrium model ( GEM ), hormonal signaling ( HSM ), reaction diffusion ( RDM ) and other biological criteria and Self learning mechanism to construct adaptive technology based on bionics. Since the GEM is leaded into to realize the management of resources of the network system to achieve the rational use of resources and improve resource utilization. Constructing the self-healing mechanism base on the criteria of the glucose equilibrium model ，hormone signaling, and so on. To make full use of unused resources. At the same time，constructing the network traffic forecast mechanism based on information theoretic learning to do dynamic configuration resources and establishing predictive self-healing mechanism based on this for guaranteeing the end-to-end quality of service, thus improving the utilization rate of network resources.

宽带移动互联网是移动通信网技术与互联网技术的融合与提升，是未来网络发展的主要趋势，面临着许多问题和挑战，尤其是在如何保障网络的可管、可控、可信和实现对网络的自治方面。网络自愈技术是解决这一问题的关键，即研究当网络出现故障时，如何在无需人为干预的情况下，自主地实现对网络资源的配置和对网络故障的修复，提高网络的生存性。本项目充分考虑到宽带移动互联网对自适应控制的需求，利用生物体自身所具有的自适应性以及自学习特性，构建面向宽带移动互联网的自愈系统，将血糖平衡态模型、荷尔蒙信令、反应扩散等生物准则及自学习机制应用于网络的自愈机制的设计中，完成仿生学原理与移动互联网络功能实体的映射，研究基于血糖平衡态模型的资源自配置方法，研究基于血糖平衡态模型和荷尔蒙信令的自愈机制，设计基于信息理论学习的网络流量预测方法，建立基于预测的自愈机制，保证被恢复业务端到端的服务质量，提高网络资源的利用率。

宽带移动互联网是移动通信网技术与互联网技术的融合与提升，是未来网络发展的主要趋势，面临着许多问题和挑战，尤其是在如何保障网络的可管、可控、可信和实现对网络的自治方面。网络自愈技术是解决这一问题的关键，即研究当网络出现故障时，如何在无需人为干预的情况下，自主地实现对网络资源的配置和对网络故障的修复，提高网络的生存性。本项目充分考虑到宽带移动互联网对自适应控制的需求，利用生物体自身所具有的自适应性以及自学习特性，构建面向宽带移动互联网的自愈系统，将血糖平衡态模型、荷尔蒙信令、反应扩散等生物准则及自学习机制应用于网络的自愈机制的设计中，完成仿生学原理与移动互联网络功能实体的映射，研究基于血糖平衡态模型的资源自配置方法，研究基于血糖平衡态模型和荷尔蒙信令的自愈机制，设计基于信息理论学习的网络流量预测方法，建立基于预测的自愈机制，保证被恢复业务端到端的服务质量，提高网络资源的利用率。