Content center network caching method based on software defined network

Abstract

The invention provides a content center network caching method based on a software defined network. Under a fused architecture of the software defined network and a content center network, concentrated control and overall cache optimization are performed on caching nodes and content via perception of a controller on overall network topology and cached information. The controller periodically makes statistics on the cached information, and then performs cache optimization according to a data layer cache decision-making request. According to the method provided by the invention, an importance degree and an edge degree of the nodes and the popularity of content are brought into a cache decision-making strategy, mathematical modeling is performed according to the above information, and a particle swarm intelligent algorithm is used for optimizing the mathematical model. The method provided by the invention fully utilizes advantages of the controller on overall control and logic centralization, and thus the cache can perform decision optimization under multi-node coordination.

Description

technical field [0001] The invention belongs to the caching decision-making strategy under the fusion architecture of software-defined network and content-centric network, and relates to the programmability of the controller for data layer operation, and the caching of content by the controller according to the information sensed by the whole network and applying the particle swarm intelligent algorithm decision making. Background technique [0002] In the face of massive Internet traffic dominated by real-time audio and high-definition video, the traditional network architecture based on TCP / IP has huge challenges in terms of availability, mobility, scalability, security, etc., and it is difficult to meet the requirements of current network development. [0003] Content-centric networking (CCN) is considered to be an effective way to solve existing network problems. The content-centric network obtains content in a user-driven mode, and the user sends a content request, and...

AI Technical Summary

Problems solved by technology

However, the existing caching strategy is still a technical difficulty in the management of storage nodes and storage content

Images