SDN data center network flow scheduling algorithm based on multi-layer virtual topology energy saving

Abstract

The invention discloses an SDN data center network flow scheduling algorithm based on multi-layer virtual topology energy saving. The invention provides an energy-saving flow scheduling algorithm of amulti-layer virtual sub-topology. Firstly, an optimization mathematical model of an energy-saving flow scheduling problem is established; the mathematical optimization model is solved through an energy-saving multi-layer virtual topology flow scheduling algorithm on the premise that all network data flows can be borne, the energy-saving scheduling scheme of the data flows is obtained, and the energy-saving purpose is achieved through hibernation of the virtual topology of the higher layer and switch ports. Besides, the invention can dynamically adjust the working state of the virtual sub-topology of the higher layer according to the current link utilization rate, and can find the path with the minimum hop count and the minimum maximum link utilization rate in the opened sub-topology to route the data flow, thereby solving the problem that the energy utilization rate of the rich connection data center network is relatively low when the load is low.

Description

technical field [0001] The invention belongs to the technical field of communication networks, in particular to an SDN data center network traffic scheduling algorithm based on multi-layer virtual topology energy saving. Background technique [0002] With the rapid development of cloud computing, Internet of Things and big data technologies, the scale of data centers has become larger and larger, and its energy consumption is huge and growing, which greatly limits its operation and development. According to statistics, in 2015, the energy consumption of my country's data centers was as high as 100 billion kWh, 1.5% more than my country's social electricity consumption, equivalent to the annual power generation of the entire Three Gorges Dam. With the recent rapid growth of technologies such as 5G communications, it is estimated that by 2020, the proportion of energy consumption in my country's data centers will increase to 8%. [0003] Data center equipment includes periphe...

AI Technical Summary

Problems solved by technology

[0013] The purpose of the present invention is to provide an energy-saving multi-layer virtual sub-topology traffic scheduling algorithm (EMV-SDN) to solve the problem of low energy utilization rate of the "rich connection" data center network at low load

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