{"title":"An Efficient Traffic Management Solution in Data Center Networking Using SDN","authors":"Deepshikha, M. Dave","doi":"10.1109/PEEIC.2018.8665589","DOIUrl":null,"url":null,"abstract":"In today’s big data era, large scale data centers are the major infrastructure. One goal of doing research and work in the field of DCNs is to satisfy network transmission demands, increase responsiveness and throughput simultaneously. Hence, for required stable and optimized architecture an implementation based on software-defined network (SDN) is used to utilize the data center network (DCN) performance. The problem of traffic engineering is observed in the field of routing and load balancing based on traditional networks in data centers. The load balancing is a complex task due to variety in data flows. Thus various solutions have been employed in this field for better results. Load balancing shows its use in the presence of heavy flow generated during peak intervals or other occasions that ultimately results in congestion of the network and performance degradation. This paper proposed the collaboration of online routing method with multipath transmission control protocol (MPTCP) and segment routing (SR) in software defined network for batter results in DCN.","PeriodicalId":413723,"journal":{"name":"2018 International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEEIC.2018.8665589","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In today’s big data era, large scale data centers are the major infrastructure. One goal of doing research and work in the field of DCNs is to satisfy network transmission demands, increase responsiveness and throughput simultaneously. Hence, for required stable and optimized architecture an implementation based on software-defined network (SDN) is used to utilize the data center network (DCN) performance. The problem of traffic engineering is observed in the field of routing and load balancing based on traditional networks in data centers. The load balancing is a complex task due to variety in data flows. Thus various solutions have been employed in this field for better results. Load balancing shows its use in the presence of heavy flow generated during peak intervals or other occasions that ultimately results in congestion of the network and performance degradation. This paper proposed the collaboration of online routing method with multipath transmission control protocol (MPTCP) and segment routing (SR) in software defined network for batter results in DCN.
在当今大数据时代,大型数据中心是主要的基础设施。在满足网络传输需求的同时,提高响应能力和吞吐量是dcnn研究和工作的目标之一。因此,为了满足稳定和优化的架构要求,采用基于软件定义网络(SDN)的实现来充分利用DCN (data center network)的性能。在数据中心中,基于传统网络的路由和负载均衡领域存在着流量工程问题。由于数据流的多样性,负载平衡是一项复杂的任务。因此,为了取得更好的效果,在这一领域采用了各种解决方案。负载平衡在高峰间隔或其他最终导致网络拥塞和性能下降的场合产生大流量时显示其用途。本文提出了在线路由方法与多路径传输控制协议(MPTCP)和段路由(SR)在软件定义网络中的协同作用,以获得更好的DCN效果。