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Research On Traffic Optimization Based On Ndn Architecture And Business Classification In Datacenter Networks

Posted on:2021-05-13Degree:MasterType:Thesis
Country:ChinaCandidate:W ZhaoFull Text:PDF
GTID:2518306308975799Subject:Electronic Science and Technology
Abstract/Summary:PDF Full Text Request
With the rapid development of the information age and the surge of communication data traffic,the performance of traditional communication networks is facing huge performance challenges.Therefore,data center networks have attracted widespread attention from scholars at home and abroad due to their ability to efficiently process data.As the infrastructure of cloud services,data centers have an ever-increasing network scale and variety of applications.Different types of data traffic generated by different services in the network share network bandwidth and resources.When data traffic is too large,network congestion and even packet loss are likely to occur.In order to meet the different needs of users,traffic optimization based on service classification in the network is extremely important.A reasonable traffic optimization strategy is essential to improve network transmission performance and user service quality.In this context,the TCP/IP architecture used in data center networks faces great challenges in terms of scalability,robustness,and system performance.Therefore,the traditional TCP protocol needs to be improved so that it can optimize traffic in multi-service scenarios,and improve the utilization of system resources and system robustness.In addition,the current TCP/IP network has many problems in terms of security and mobility.Relying on the improvement of supplements still cannot solve the problems caused by the irrationality of its own architecture.The future network architecture represented by Named Data Networking(NDN)has become a perfect replacement for the TCP/IP architecture.NDN has huge advantages in terms of security,namespace,and intranet caching.The study of NDN is of great significance.The research work of this paper mainly includes the following aspects:(1)In the context of data center service classification,the traffic in the network is divided into two types:delay-sensitive and freshness-sensitive.Based on this,an optimized information age is proposed.Receive-driven Transport Protocol(Age-optimized Receiver-driven Transport,ARTHost).ARTHost improved the traditional TCP protocol,designed a distributed transmission mechanism,and designed a terminal scheduling algorithm based on service classification based on the system goals to optimize different types of traffic coexisting in the network.Simulation results show that the performance of two different service flows is guaranteed,and network resource utilization is improved while reducing network congestion.(2)This article introduces the NDN architecture to optimize traffic based on service classification in the context of data center network topology and traffic.Firstly,a naming method based on service classification is proposed,which takes advantage of the flexibility of the NDN namespace without introducing the overhead of signaling.Then this paper improves the forwarding strategy in NDN,and proposes a content duration algorithm based on content priority to reduce redundancy in the network.Finally,this paper designs a NDN cache replacement strategy based on content priority to further optimize traffic in the network.The simulation results show that the data center network based on the NDN architecture can achieve ideal system performance and improve network service quality.
Keywords/Search Tags:Datacenter networks, business classification, named data networking, traffic optimization
PDF Full Text Request
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