A Traffic Scheduling Method Based on SDN

Author:

Wang Li1ORCID

Affiliation:

1. China Oil & Gas Pipeline Network Corporation, Beijing 312000, China

Abstract

The rise of big data has brought severe challenges to data storage, which also means that computing resources and storage resources have become centralized. In the past, business data could end up after being processed locally or at the secondary node. Now, all data must be uploaded to each data center for unified processing. Data collection also requires users to access data center services and then send them back, which undoubtedly increases the pressure on the backbone network. This also means that the annual private line cost of the enterprise will increase with the growth of network traffic. Large enterprises often use multiple lines between network nodes to improve link utilization and network reliability. However, in most cases, the line utilization of the backup line is usually low, because the traditional routing algorithm forwards according to the optimal path. Load sharing or traffic scheduling is achieved by adjusting interface cost values ​​or BGP parameters. In large networks, it often affects the entire body. Each adjustment requires detailed planning and validation. At the same time, due to the diversity of applications, different applications have different business characteristics. If the network can distinguish different applications, sense network conditions, and adjust the QoS and traffic paths of applications as needed, the link utilization of leased lines and the network quality of applications will be significantly improved. SDN separates the control plane from the data plane and intelligently controls the network forwarding policy through the global controller, which improves the flexibility and security of the network. Based on the traditional large-scale enterprise WAN architecture, this paper proposes a complete traffic scheduling solution based on SDN to achieve secure, controllable, and flexible scheduling of enterprise WAN network resources.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Reference14 articles.

1. SDN network topology generation system based on bgp-ls protocol [J];F. Chen;Network new media technology,2020

2. Probe based network condition monitoring technology;S. Dong;Communication technology,2019

3. Requirements for support of differentiated services-aware MPLS traffic engineering;F. L. . Faucheur;British Journal of Plastic Surgery,2003

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3