Dynamic strategy-driven intelligent network resource planning and configuration method

Abstract

The invention discloses a dynamic strategy-driven intelligent network resource planning and configuration method, which comprises (1) a strategy management module, (2) a network planning module, (3) asimulation evaluation module, (4) a reconfiguration management module and (5) cognitive computing based autonomous management module, wherein the reconfiguration management module is used for completing automatic configuration of network elements based on a planning scheme and network operation situation information. The invention provides an implementation method of network resource planning andconfiguration based on cognitive computing and dynamic strategy generation, and the planning fulfillment success rate and the automatic configuration level are improved. The method proposes to perform automatic and intelligent planning process management and control on the whole life cycle including demand reception and decomposition, automatic planning and simulation evaluation, dynamic servicedeployment, dynamic bottom resource planning and scheduling and dynamic optimization of the operation process, feeds back the actual operation condition to the planning module, carries out expansion and optimization compared with the traditional network resource planning and configuration, and effectively gives consideration to local adjustment and overall optimization.

Description

technical field [0001] The invention relates to a method for intelligent planning and configuration of network resources driven by dynamic policies. Background technique [0002] As an important part of network management, network resource planning and configuration is the basis for providing on-demand guarantees for users and services. It is important to consider network requirements and grasp the network situation from a global perspective to ensure that the communication network can give full play to its effectiveness. research value. Among them, the intelligent planning and configuration of network resources is the trend of technological development. Therefore, whether the network resource planning and configuration method is intelligent and whether it can dynamically adapt to the surrounding environment is the top priority of network resource planning and configuration design or model selection. [0003] Currently, there are two common network resource planning method...

AI Technical Summary

Problems solved by technology

Compared with the manual-based configuration method, this method realizes the automatic configuration of managed devices through policies, but the policies are relatively fixed, the automatic situation awareness ability is still weak, and the dynamic policy generation ability is insufficient, so it cannot intelligently adapt to changes in the environment, resulting in resource Unable to reasonably and effectively use and provide strong protection

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