Integrated convergence media cloud production and release system and method

Abstract

The invention discloses an integrated convergence media cloud production and release system and method. The system comprises a Docker engine which is used for establishing a Docker mirror image and a Docker container and pushing the Docker mirror image and the Docker container to an environment test sub-system; the environment test sub-system which is used for testing the established Docker mirror image and Docker container and pushing the Docker mirror image and the Docker container to a cloud platform deployment sub-system after a test is successful; the cloud platform deployment sub-system which is used for deploying the Docker mirror image pushed by the environment test sub-system on a cloud server; a cloud collection sub-system which is used for obtaining network data; a cloud storage sub-system which is used for storing the data obtained by the cloud collection sub-system and providing a uniform access interface; a cloud analysis sub-system which is used for processing the data in the cloud storage sub-system; and a cloud release sub-system which is used for releasing the data processed by the cloud analysis sub-system. According to the system and the method, the development, test, deployment, production and release processes are integrated, the load of the convergence media production and release system is balanced, the resource deployment cost is reduced, and the high-efficiency production of a cloud platform is realized.

Description

technical field [0001] The invention relates to an integrated integrated media cloud production and release system and method. Background technique [0002] Cloud computing is a huge shared pool of IT resources, which includes storage, services, networks and applications, etc., and the resources in the pool can be updated and calculated automatically and quickly; the characteristics of cloud computing are large-scale computing capabilities and high Intensive integration, setting up virtual resource pools, adopting distributed data computing mode to ensure system security, modular design to improve scalability, and independence of software and hardware provide new management and production for media big data in the radio and television industry From the perspective of the development environment, the recently popular Docker uses a lightweight container virtual platform, combines workload and tools to manage and deploy applications, and has entered the cloud era; in order to c...

AI Technical Summary

Problems solved by technology

[0003] 1. The existing development environment for the development team of the unified media production release system is not convenient for frequent updates, and the startup and destruction speed is very slow. The support for parallel development scenarios, especially the fast iterative development cycle, is not effective, and the efficiency is extremely low

[0004] 2. When using the local deployment of the integrated media production and release system, there are problems such as long time consumption, high hardware cost, low scalability, and difficult upgrade and maintenance, and there are problems in network resource collection, data storage, data analysis and processing, and media content distribution. unavoidable limitations

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