Internet data center demand response optimization method based on multi-objective evolutionary algorithm
A multi-objective evolution, data center technology, applied in the field of data processing, can solve problems such as the inability to achieve multi-IDC optimization and the inability to highlight the importance of QoS.
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[0136] The application will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, but not to limit the protection scope of the present application.
[0137] A typical IDC network consists of multiple data centers, front-end and back-end portals and clients. IDCs are responsible for providing services and expecting profits; customers expect high-quality services; front-end and back-end portals and application servers are application servers that collect service requests from clients and distribute workloads to each IDC. The front-end and back-end portals can be regarded as the coordinator between the IDC and the client to jointly optimize profits and QoS.
[0138] Such as figure 1 , the Internet data center demand response optimization method based on multi-objective evolutionary algorithm includes:
[0139] Step 1. Obtain the maximum number o...
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