Network architecture of artificial-like network and implementation method

Abstract

The invention discloses a network architecture of an artificial-like network and an implementation method, and relates to the field of network architecture. The network architecture herein includes a user layer, a network layer, a control layer and an application layer. The user layer is intended for providing information to the control layer. The network layer is intended for transmitting and receiving data, executing a command from the control layer, sensing network state, environment information and knowledge of other networks, and handling the network state, the environment information and the knowledge of other networks to the control layer. The control layer is intended for acquiring and processing the information from the application layer, the user layer and the network layer, and saving the processed information and the knowledge of the other networks, and the control layer is also intended for generating knowledge associated with the network state and decisions, and adding the knowledge associated with the network state and decisions to a database. A control entity is intended for based on the current network state, obtaining decisions, performing decision-making rehearsal by simulation, estimating optimal time for implementing the decisions, implementing the decisions, evaluating the decisions and feedbacking the decisions. The application layer is intended for receiving the information provided by the control layer and providing required information to the control layer. According to the invention, the network architecture herein can increase the robustness of the network, enhances defense against network attacks, and provide quality functions and performances.

Description

technical field [0001] The invention relates to the field of network architecture, in particular to the network architecture and implementation method of human-like network. Background technique [0002] With the rapid development of the Internet, in order to meet the growing needs of the current network, network functions need to be continuously enhanced, the network itself is becoming more and more complex, and the challenges faced by the network are becoming stronger and stronger. Of course, this has further promoted network technology. The development of relevant research has promoted the evolution of the network. At present, the network is rapidly developing in the direction of intelligence, software, virtualization, green, etc., and a series of research topics have been proposed during the development process. On the one hand, the requirements for the robustness of the network itself, how to defend against network attacks, and how to continuously provide better functi...

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