Data processing method and device and server

Abstract

The invention provides a data processing method and device and a server. Based on the method, when a target service function chain needs to be deployed in a target network system, parameter data of the target service function chain and network topology data and operation parameters of the target network system are obtained firstly; according to a preset construction rule, constructing a target weighted energy consumption level auxiliary graph for the target service function chain by using the parameter data of the target service function chain and the network topology data and the operation parameters of the target network system; and determining a corresponding target deployment strategy according to the target weighted energy consumption level auxiliary graph. Therefore, the target deployment strategy with low energy consumption and good effect can be accurately determined by constructing and based on the target weighted energy consumption level auxiliary graph and fully utilizing the computing resources of the function instance currently existing in the target network system; and furthermore, the target service function chain can be deployed and operated in the target network system with relatively low processing cost according to the target deployment strategy.

Description

technical field [0001] This specification belongs to the field of network technology, and particularly relates to a data processing method, device and server. Background technique [0002] Based on the network function virtualization framework, the business service requested by the demander is usually split into multiple service functions connected in a chain form to obtain the corresponding service function chain. In order to realize the above-mentioned business service, the above-mentioned service function chain needs to be deployed into a corresponding network system (for example, a network system of a micro data center) for instantiation processing. [0003] Based on the existing methods, the optimal strategy is often found by focusing on reducing the number of newly opened exchanges or servers; and then according to the strategy, the corresponding service function chain is deployed and operated in the network system to provide the demand side with the requested busines...

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Problems solved by technology

[0004] However, when deploying and running the service function chain according to the strategy determined by the above method, there are often technical problems such as high energy consumption, high processing cost, and inability to fully and reasonably utilize the computing resources available in the network system

[0005] For the above problems, no effective solutions have been proposed so far

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