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Research And Implementation Of Load Balancing Traffic Scheduling Based On SDN

Posted on:2019-02-11Degree:MasterType:Thesis
Country:ChinaCandidate:Q B ZhuFull Text:PDF
GTID:2348330542455578Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
Along with the rapid development of Internet,mobile Internet and cloud computing,add the comprehensive deployment of 5G in the future,Internet of things,the strong rise of artificial intelligence,send a,network business diversification in the network traffic is exploding,the traditional management methods in a single network architecture,for rapid and efficient network traffic can't flexible scheduling,seriously affect the quality of service,so how to effectively scheduling network traffic becomes a hotspot to solve the problem of network.Aiming at this problem,this paper proposes a transfer control separation of new network architecture SDN(software defined network),mainly introduced SDN architecture and protocols,including centralized control characteristics,south to OpenFlow agreement and so on,this architecture provides a programmable interface,can achieve programming flow scheduling policy.Then on the basis of ant colony algorithm,the use of the two optimization of genetic algorithm,aiming at key parameters in ant colony algorithm(alpha,beta,rho)optimization,and in view of the lack of initial pheromone of ant colony algorithm optimization,in this paper,a genetic ant colony algorithm,and introduced the basic principle of ant colony algorithm and genetic algorithm,the key operation,parameter selection and implementation steps,compare the two algorithms in implementation flow scheduling of the pros and cons,design a kind of mixed genetic ant colony algorithm and realization process based on SDN architecture implementation.Finally in mininet custom data center network topology in the simulation platform,using iperf tools to generate probability model traffic to simulate the real network traffic data center,the test results show that using genetic ant colony algorithm,the average bandwidth utilization of data center network of high and low latency.Simulation experiments show that compared with using a single algorithm,ant colony genetic hybrid algorithm can quickly find the optimal network forwarding paths,significantly increase the ability of data center network load balancing.
Keywords/Search Tags:software defined network, Genetic ant colony algorithm, Traffic scheduling, A datacenter network, Load balancing
PDF Full Text Request
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