Energy-saving method in software defined network and energy-saving control device

Abstract

An embodiment of the invention provides an energy-saving method in a software defined network and an energy-saving control device. The method comprises the steps of utilizing the energy-saving control device to construct an expanded network which can visually display connection relations of links, single plates and a router according to an original network, establishing an energy-saving optimized 0-1 integer programming model of all inspected factors by mathematical abstraction on the basis of the expanded network, and adopting a elicitation type solving method when solving the integer programming model rather than software solving. Therefore, the computing convergence speed is improved, the total of the single plates used in the network is reduced through the integer programming model simultaneously, the energy-saving control device enables the unused single plates to sleep according to the use conditions of every single plate in the network, the energy effective utilization rate is improved, and total energy consumption of the network is reduced.

Description

technical field [0001] Embodiments of the present invention relate to communication technologies, and in particular to an energy-saving method and an energy-saving control device in a software defined network (Software Defined Network, SDN for short). Background technique [0002] Software Defined Network (Software Defined Network, referred to as SDN) is a new network innovation architecture proposed by the research group of Stanford University in the United States. Its core technology, OpenFlow, separates the control plane and data plane of network equipment, thereby realizing network flow. flexible control. Moreover, SDN introduces a controller (Controller), which centrally manages network devices within a certain range (also called an SDN domain) through the controller, so that the design, deployment, operation and maintenance, and management of the network are completed at one control point. [0003] There are a large number of routers in SDN, and the energy consumption...

AI Technical Summary

Problems solved by technology

GreenTE established a mixed integer programming model and used the software Cplex to solve it. Generally speaking, integer programming is a non-deterministic polynomial-hard (NP-hard) problem, and it is difficult to solve it in polynomial time for NP-hard problems. exact solution

Although Cplex is a commonly used software for solving integer programming, it still cannot guarantee to find a better solution or even a feasible solution in a short time. The method adopted in GreenTE is to set the upper limit of the solution time to 300s, which takes a long time and cannot be guaranteed. Optimal solution

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