Policy-driven autonomic network resource management for observation and detection data communication

The increase of the business and management complexity requires more adaptive and higher selfmanaged equipments, application processes and management systems, which promotes the development of autonomic computing and communication networks. The meteorological and hydrological business system (MHBS) is a typical composite functional system, which includes data collecting, transporting, convergence and clean up, distributing and publishing, pre-processing, storage, and weather forecasting. In order to realize self-management of MHBS, autonomic concept is introduced and autonomic network management architecture with associated model is proposed firstly. According to the measured data from observation and / or detection devices, the system may perceive the work situations of these devices by means of prediction models. Driven by a set of system management polices, some well-defined events can be processed, which enable generating configuration and adjustment suggestions automatically. The instances of policy-driven data communication management with multiple channels are given literally to show the model's mechanisms.