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大·融合
SDN融合异构网络基础设施
 海量设备,巨量规模配置
 硬件集群跨类型跨厂商的聚合
 云网协同,多端集成
 自动化、模板化地配置
 硬件功能提取、抽象
 云网一体化的工作模式
低·消耗
SDN卸载网络功能提效算力应用
 应用与虚拟网络共享算力
 Smart NIC成熟化
 网络设施功能趋于全面
 Smart NIC卸载CPU负载
 网络功能硬件化迁移
 服务器提升应用算力占比
广·连接
SDN为算力协同提供跨域网络通道
 地理区位分散
 业务互联性要求强时延敏感
 跨云需求多、体验要求高
 资源整合一体化
 网络一站式开通
 云边端管控协同业务协同
深·透视
SDN洞察网络运维难题
 被动式响应
 有限的现网视野和故障眼界
 端到端复杂的网络运维
 主动式探测和响应
 全网可视化、实时显示
 简化、轻松、全面应对

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大师兄PPT内容sdn发布会.pptx

Notas del editor

  1. 问题:网络设备管理员希望sdn控制器做什么?1、网络设备上架,配置;2、配置变更管理;3、针对云服务的网络功能,如何配置(VPC,防火墙,nat,专线接入,vpc互通);4、异构网络设备的配置(如何把不同厂商的设备接到一个网络fabric里头去)5、网络开通(比如为openstack、kubernetes开通管理网,存储网,业务网);6、告诉我业务联通问题 是不是网络设备配置问题7、网络设备监控和异常告警(比如mac地址爆仓);8、网络设备的连接可视化管理(3D展示,或叫数字孪生)
  2. SDN的发展离不开主机上虚拟网络设备(虚拟交换机,虚拟路由器,虚拟网卡)的发展,据数据表明,10G,25G,100G网络带宽情况下,如果使用主机cpu来传递网络数据,主机cpu用于通用计算的比率显著降低,或者利用主机cpu来传递数据,根本达不到网络大流量的需求。业界对主机上虚拟网络设备的性能在软件和硬件上都做了大量的研究。能否聊聊业界目前在这方面的发展?1、sriov,dpdk;2、硬件卸载(隧道技术卸载,加密技术卸载,存储协议方面的卸载);3、聊聊DPU方面的发展,DPU 使得在主机上形成隔离的基础设施(计算,存储,网络的数据面,openstack,k8s控制面 )的形成,让通用cpu 做其擅长的事,运行客户业务
  3. 云计算当中的云,如同天上的云一样,有云的时候,大概率不会只有一朵云。现在的公有云,往往也是很多中心构成的;进入边缘计算时代,最典型的部署也是中心云-边缘云的星型结构,有些边缘云甚至上天,现在几大运行商提出算力网络以及国外团体提的天空计算(sky computing),对网络的SDN提出了更高的要求。问题就是:如何联通多个云,SDN要做什么,其中SDN技术涉及哪些内容和技术?1、p4灵活定义网络协议;2、srv6 在ipv6下的SDN;3、vxlan等跨网络运营商的互联。中间考虑网络运行商实现还是非网络运营商来实现。​ ​
  4. 平台管理着众多的计算节点,网络设备,存储节点;哪个客户的应用联通性(首先联通性的判断)出现问题,如何快速排查联通性问题,提高服务SLA,需要提高网络洞察能力。网络洞察能力涉及到哪些?1、单包探测(比如从某个虚拟交换机模拟某个虚拟机发出包探测,可视化显示其路径;2、以应用为单位,显示该应用的网络访问路径