Research On Energy Saving Scheme For Future Network

With the integration of the Internet into all aspects of life,it has gradually become the backbone of scientific and technological progress in the times.It is also imperative to expand the network scale.As a result,the energy consumption of the network is becoming more and more serious.For example,the power consumption of the data center is large,the energy efficiency of network equipment is low,and the idle resources are wasted.This thesis studies the energy consumption of the network from two aspects of the Software-Defined Network and the Content-Center Network,and also makes a detailed introduction to the two new network architectures and their key technologies.In view of the energy consumption of SDN,this thesis starts with the development of virtualized physical resources.According to the SDN network topology,an integer linear programming ILP is used to establish a mathematical model,and the optimal energy consumption is designed from four perspectives: link capacity,TCAM capacity,virtual machine deployment restrictions,and traffic restrictions.Considering the computational complexity of the optimal solution,a two-phase heuristic virtual machine deployment scheme based on traffic rules is proposed which divides VM deployment and traffic mapping into two parts.Simulation results show that the algorithm greatly reduces the network energy consumption.In view of the energy consumption of CCN,this thesis starts with turning off the redundant devices in the network.It mainly builds the energy consumption model through mixed integer linear programming MILP and proposes a centralized solution based on the spanning tree heuristic algorithm.Then,using convex optimization thinking and dual decomposition,the centralized scheme is decomposed into three sub-problems: node state,link state and link flow,and respectively establishes the energy consumption optimization model.Simulation results show that the algorithm has faster convergence speed and higher energy efficiency.