基于网络环境域认知的任务关键系统自配置模型与感知算法

Self-configuration Model and Awareness Algorithm for Mission-Critical Systems Based on Cognition of Network Environment Domains

硬件问题、软件bug、人为误操作及恶意攻击等现象使得人工完成任务关键系统的管理和维护、保持关键服务的持续提供变得日益困难,为解决上述问题,提出了一种自配置管理模型,并对面向系统内外的环境感知算法进行了研究.采用心跳机制实现系统的内部环境感知,引入上下文建模技术形式化描述用户活动和系统资源状况,以获得系统外部环境信息.自配置管理模型在组件整体运行过程中模块之间具有交互性,能够有效地提高任务关键系统的自主管理能力.

It is becoming more and more difficult to manage, maintain and keep the key services of mission-criti- cal systems manually because of hardware problems, software bug, misoperation and malicious attacks. In order to solve the above problems, a self-configuration model was proposed, and awareness algorithm oriented the internal and external environment was discussed. The heartbeat mechanism was utilized to realize internal environment awareness, and then the context-modeling technology was introduced to describe user activities and system resources formally, which can obtain the external environment awareness. The self-configuration model has interactivity among modules during operations, and able to improve the self-management ability of mission-critical systems effectively.