[1]钟耿辉[],唐加山[]. 基于VXLAN的EVPN技术研究与实现[J].计算机技术与发展,2017,27(05):46-50.
 ZHONG Geng-hui[],TANG Jia-shan[]. Research and Implementation of EVPN Technology with VXLAN[J].,2017,27(05):46-50.
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 基于VXLAN的EVPN技术研究与实现()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年05期
页码:
46-50
栏目:
智能、算法、系统工程
出版日期:
2017-05-10

文章信息/Info

Title:
 Research and Implementation of EVPN Technology with VXLAN
文章编号:
1673-629X(2017)05-0045-05
作者:
 钟耿辉[1]唐加山[2]
 1.南京邮电大学 通信与信息工程学院;2.南京邮电大学 理学院
Author(s):
 ZHONG Geng-hui[1]TANG Jia-shan[2]
关键词:
 EVPNVXLAN 数据平面控制平面
Keywords:
 EVPNVXLANdata platformcontrol platform
分类号:
TP31
文献标志码:
A
摘要:
 VXLAN作为overlay网络技术的代表,为解决云数据中心的组网问题提供了有效的技术支持,使网络更具可扩展性.但传统VXLAN技术是基于数据平面的,存在诸多局限性.早在EVPN之前,运营商网络PE设备间的MAC或ARP学习是基于传统网桥功能的,以泛洪学习模式运行.在这种模式下,终端虚机信息学习和VTEP的自动发现均基于数据平面,缺少控制平面来发布终端虚机的可达信息.为此,将VXLAN作为数据平面,基于VXLAN封装的MP-BGP EVPN作为控制平面,改变了这种泛洪学习模式,提供了远端VTEP下终端虚机基于控制平面的学习模式,并设计实现了在VXLAN overlay网络中二层和三层转发的控制平面方案.该方案将MAC/IP路由作为控制平面消息,利用该路由携带的信息进行终端虚拟机信息的学习,并实现了虚拟机之间的互通,取代了泛洪学习模式,有效减少了网络流量.
Abstract:
 As the representative of overlay network,VXLAN (Virtual eXtensible LAN) has provided effective support to conduct network of cloud data center and makes it more scalable.However,traditional VXLAN based on data platform is limited in some ways.Before EVPN,MAC or ARP learning in PE of operator network,based on bridge,is performed by flooding-learning pattern.Based on data platform,terminal VM learning and VTEP automatic finding has missed control platform to release reachability information of terminal VM.Therefore,with VXLAN as data platform and MP-BGP EVPN encapsulated by VXLAN as control platform,the flooding-learning pattern has been changed.It also provides learning pattern of terminal VM under remote VTEP based on control platform.A forwarding scheme between bridge and route in VXLAN overlay network has also been realized.In this scheme,MAC/IP routing is used as a control plane.Information attached by this route has been used to study knowledge of terminal virtual machines,and the communication between virtual machine has been implemented,which has replaced the flooding-learning pattern and reduced network traffic effectively.

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更新日期/Last Update: 2017-07-06