首页 > 其他分享 >实验6:开源控制器实践——RYU

实验6:开源控制器实践——RYU

时间:2022-10-28 20:58:58浏览次数:35  
标签:控制器 self parser datapath msg 开源 ofproto RYU port

一、实验目的
能够独立部署RYU控制器;
能够理解RYU控制器实现软件定义的集线器原理;
能够理解RYU控制器实现软件定义的交换机原理。
二、实验环境
Ubuntu 20.04 Desktop amd64

三、实验要求
(一)基本要求

  • 搭建下图所示SDN拓扑,协议使用Open Flow 1.0,并连接Ryu控制器,通过Ryu的图形界面查看网络拓扑。

  • 搭建下图所示SDN拓扑,协议使用Open Flow 1.0,并连接Ryu控制器,通过Ryu的图形界面查看网络拓扑。

| sudo mn --topo=single,3 --mac --controller=remote,ip=127.0.0.1,port=6633 --switch ovsk,protocols=OpenFlow10 | header | | ----------------------------------------------------------------------------------------------------------- | ------ | | | |

  • 阅读Ryu文档的The First Application一节,运行当中的L2Switch,h1 ping h2或h3,在目标主机使用 tcpdump 验证L2Switch

  • 分析L2Switch和POX的Hub模块有何不同。

  • Hub和L2Switch模块都是洪泛转发,但L2Switch模块下发的流表无法查看,而Hub模块下发的流表可以查看

  • 编程修改L2Switch.py,另存为L2xxxxxxxxx.py,使之和POX的Hub模块的变得一致?(xxxxxxxxx为学号)

`from ryu.base import app_manager
from ryu.ofproto import ofproto_v1_3
from ryu.controller import ofp_event
from ryu.controller.handler import MAIN_DISPATCHER,CONFIG_DISPATCHER
from ryu.controller.handler import set_ev_cls

class Hub(app_manager.RyuApp):
OFP_VERSIONS = [ofproto_v1_3.OFP_VERSION]

def __init__(self,*args,**kwargs):
    super(Hub,self).__init__(*args,**kwargs)


@set_ev_cls(ofp_event.EventOFPSwitchFeatures,CONFIG_DISPATCHER)
def switch_features_handler(self,ev):
    datapath = ev.msg.datapath
    ofproto = datapath.ofproto
    ofp_parser = datapath.ofproto_parser

    match = ofp_parser.OFPMatch()
    actions = [ofp_parser.OFPActionOutput(ofproto.OFPP_CONTROLLER,ofproto.OFPCML_NO_BUFFER)]

    self.add_flow(datapath,0,match,actions,"default flow entry")

def add_flow(self,datapath,priority,match,actions,remind_content):
    ofproto = datapath.ofproto
    ofp_parser = datapath.ofproto_parser

    inst = [ofp_parser.OFPInstructionActions(ofproto.OFPIT_APPLY_ACTIONS,
                                         actions)]

    mod = ofp_parser.OFPFlowMod(datapath=datapath,priority=priority,
                                match=match,instructions=inst);
    print("install to datapath,"+remind_content)
    datapath.send_msg(mod);


@set_ev_cls(ofp_event.EventOFPPacketIn,MAIN_DISPATCHER)
def packet_in_handler(self,ev):
    msg = ev.msg
    datapath = msg.datapath
    ofproto = datapath.ofproto
    ofp_parser = datapath.ofproto_parser

    in_port = msg.match['in_port']

    print("get packet in, install flow entry,and lookback parket to datapath")

    match = ofp_parser.OFPMatch();
    actions = [ofp_parser.OFPActionOutput(ofproto.OFPP_FLOOD)]

    self.add_flow(datapath,1,match,actions,"hub flow entry")

    out = ofp_parser.OFPPacketOut(datapath=datapath,buffer_id=msg.buffer_id,
                                        in_port=in_port,actions=actions)

    datapath.send_msg(out);`

(二)进阶要求
阅读Ryu关于simple_switch.py和simple_switch_1x.py的实现,以simple_switch_13.py为例,完成其代码的注释工作,并回答下列问题:
a) 代码当中的mac_to_port的作用是什么?
保存mac地址到交换机端口的映射

b) simple_switch和simple_switch_13在dpid的输出上有何不同?
simple_switch是直接输出dpid,而simple_switch_13是在dpid前端填充0直至满16位

c) 相比simple_switch,simple_switch_13增加的switch_feature_handler实现了什么功能?
增加了实现交换机以特性应答消息响应特性,
请求功能将缺失流表项添加到流表中,当封包没有匹配到流表项时,就触发packet_in

d) simple_switch_13是如何实现流规则下发的?
在触发PacketIn事件后,首先解析相关数据结构,获取协议信息、获取源端口、包学习,交换机信息,以太网信息等。
如果以太网类型是LLDP类型,则忽略。
如果不是LLDP类型,则获取目的端口和源端口还有交换机id,然后进行交换机自学习,先学习源地址对应的交换机的入端口,再查看是否已经学习目的mac地址,如果没有就洪泛转发。
如果学习过该mac地址,则查看是否有buffer_id,如果有则在添加流时加上buffer_id,向交换机发送数据包和流表。

e) switch_features_handler和_packet_in_handler两个事件在发送流规则的优先级上有何不同?
switch_features_handler下发流表的优先级比_packet_in_handler高

编程实现和ODL实验的一样的硬超时功能。

`# Copyright (C) 2011 Nippon Telegraph and Telephone Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
# implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from ryu.base import app_manager
from ryu.controller import ofp_event
from ryu.controller.handler import CONFIG_DISPATCHER, MAIN_DISPATCHER
from ryu.controller.handler import set_ev_cls
from ryu.ofproto import ofproto_v1_3
from ryu.lib.packet import packet
from ryu.lib.packet import ethernet
from ryu.lib.packet import ether_types


class SimpleSwitch13(app_manager.RyuApp):
    OFP_VERSIONS = [ofproto_v1_3.OFP_VERSION]

    def __init__(self, *args, **kwargs):
        super(SimpleSwitch13, self).__init__(*args, **kwargs)
        self.mac_to_port = {}

    @set_ev_cls(ofp_event.EventOFPSwitchFeatures, CONFIG_DISPATCHER)
    def switch_features_handler(self, ev):
        datapath = ev.msg.datapath
        ofproto = datapath.ofproto
        parser = datapath.ofproto_parser

        # install table-miss flow entry
        #
        # We specify NO BUFFER to max_len of the output action due to
        # OVS bug. At this moment, if we specify a lesser number, e.g.,
        # 128, OVS will send Packet-In with invalid buffer_id and
        # truncated packet data. In that case, we cannot output packets
        # correctly.  The bug has been fixed in OVS v2.1.0.
        match = parser.OFPMatch()
        actions = [parser.OFPActionOutput(ofproto.OFPP_CONTROLLER,
                                          ofproto.OFPCML_NO_BUFFER)]
        self.add_flow(datapath, 0, match, actions)

    def add_flow(self, datapath, priority, match, actions, buffer_id=None, hard_timeout=0):
        ofproto = datapath.ofproto
        parser = datapath.ofproto_parser

        inst = [parser.OFPInstructionActions(ofproto.OFPIT_APPLY_ACTIONS,
                                             actions)]
        if buffer_id:
            mod = parser.OFPFlowMod(datapath=datapath, buffer_id=buffer_id,
                                    priority=priority, match=match,
                                    instructions=inst, hard_timeout=hard_timeout)
        else:
            mod = parser.OFPFlowMod(datapath=datapath, priority=priority,
                                    match=match, instructions=inst, hard_timeout=hard_timeout)
        datapath.send_msg(mod)

    @set_ev_cls(ofp_event.EventOFPPacketIn, MAIN_DISPATCHER)
    def _packet_in_handler(self, ev):
        # If you hit this you might want to increase
        # the "miss_send_length" of your switch
        if ev.msg.msg_len < ev.msg.total_len:
            self.logger.debug("packet truncated: only %s of %s bytes",
                              ev.msg.msg_len, ev.msg.total_len)
        msg = ev.msg
        datapath = msg.datapath
        ofproto = datapath.ofproto
        parser = datapath.ofproto_parser
        in_port = msg.match['in_port']

        pkt = packet.Packet(msg.data)
        eth = pkt.get_protocols(ethernet.ethernet)[0]

        if eth.ethertype == ether_types.ETH_TYPE_LLDP:
            # ignore lldp packet
            return
        dst = eth.dst
        src = eth.src

        dpid = format(datapath.id, "d").zfill(16)
        self.mac_to_port.setdefault(dpid, {})

        self.logger.info("packet in %s %s %s %s", dpid, src, dst, in_port)

        # learn a mac address to avoid FLOOD next time.
        self.mac_to_port[dpid][src] = in_port

        if dst in self.mac_to_port[dpid]:
            out_port = self.mac_to_port[dpid][dst]
        else:
            out_port = ofproto.OFPP_FLOOD

        actions = [parser.OFPActionOutput(out_port)]\

        actions_timeout=[]

        # install a flow to avoid packet_in next time
        if out_port != ofproto.OFPP_FLOOD:
            match = parser.OFPMatch(in_port=in_port, eth_dst=dst, eth_src=src)
            # verify if we have a valid buffer_id, if yes avoid to send both
            # flow_mod & packet_out
            hard_timeout=10
            if msg.buffer_id != ofproto.OFP_NO_BUFFER:
                self.add_flow(datapath, 2, match,actions_timeout, msg.buffer_id,hard_timeout=10)
                self.add_flow(datapath, 1, match, actions, msg.buffer_id)
                return
            else:
                self.add_flow(datapath, 2, match, actions_timeout, hard_timeout=10)
                self.add_flow(datapath, 1, match, actions)
        data = None
        if msg.buffer_id == ofproto.OFP_NO_BUFFER:
            data = msg.data

        out = parser.OFPPacketOut(datapath=datapath, buffer_id=msg.buffer_id,
                                  in_port=in_port, actions=actions, data=data)
        datapath.send_msg(out)`

(三)实验报告

  • 通过本次实验,让我熟悉了RYU控制器实现软件定义的集线器和交换机原理,本次实验的额难度适中,按照实验指导书的流程基本能完成任务,学习了Ryu控制器的使用方法,了解了如何通过Ryu控制器实现流表的下发,中间遇到一些问题浪费了很多时间,一开始在运行L2Switch后便一直ping不通,后来才发现在已经打开ryu控制器的 情况下,先运行L2Switch.py文件后,在建立拓扑,就能ping通了,同时中间还报了一个错是版本问题,然后自己终止掉,手动修改版本启动就可以了,最后的进阶超时与上次大同小异,不过也是学到了很多新知识!

标签:控制器,self,parser,datapath,msg,开源,ofproto,RYU,port
From: https://www.cnblogs.com/xiayuluo/p/16837385.html

相关文章

  • 实验6:开源控制器实践——RYU
    实验6:开源控制器实践——RYU一、实验目的能够独立部署RYU控制器;能够理解RYU控制器实现软件定义的集线器原理;能够理解RYU控制器实现软件定义的交换机原理。二、实验环......
  • 实验6:开源控制器实践——RYU
    实验6:开源控制器实践——RYU一、实验目的能够独立部署RYU控制器;能够理解RYU控制器实现软件定义的集线器原理;能够理解RYU控制器实现软件定义的交换机原理。二、实验......
  • 实验6:开源控制器实践——RYU
    (一)基本要求1、搭建下图所示SDN拓扑,协议使用OpenFlow1.0,并连接Ryu控制器,通过Ryu的图形界面查看网络拓扑。sudomn--topo=single,3--mac--controller=remote,ip=127.0......
  • 实验6:开源控制器实践
    实验6:开源控制器实践——RYU一、实验目的能够独立部署RYU控制器;能够理解RYU控制器实现软件定义的集线器原理;能够理解RYU控制器实现软件定义的交换机原理。二、实验环......
  • 实验6_开源控制器实践——Ryu
    一)基本要求1.搭建所示SDN拓扑,协议使用OpenFlow1.0,并连接Ryu控制器,通过Ryu的图形界面查看网络拓扑。·构建拓扑sudomn--topo=single,3--mac--controller=remote,ip......
  • 实验6:开源控制器实践——RYU
    实验6:开源控制器实践——RYU一、实验目的能够独立部署RYU控制器;能够理解RYU控制器实现软件定义的集线器原理;能够理解RYU控制器实现软件定义的交换机原理。二、实验环......
  • 实验6:开源控制器实践——RYU
    (一)基本要求1.搭建下图所示SDN拓扑,协议使用OpenFlow1.0,并连接Ryu控制器,通过Ryu的图形界面查看网络拓扑。1)构建topo:sudomn--topo=single,3--mac--controller=remot......
  • 实验6:开源控制器实践——RYU
    实验6:开源控制器实践——RYU一、实验目的能够独立部署RYU控制器;能够理解RYU控制器实现软件定义的集线器原理;能够理解RYU控制器实现软件定义的交换机原理。二、实验......
  • 实验4:开源控制器实践——OpenDaylight
    实验4:开源控制器实践——OpenDaylight一、实验目的能够独立完成OpenDaylight控制器的安装配置;能够使用Postman工具调用OpenDaylightAPI接口下发流表。二、实验环境......
  • 大咖说·对话开源|论数据库开源人才培养的实践
     数据库开发者的核心要素是什么?不同市场所需人才的共性和差异性在哪里?开源数据库人才是如何提升自我竞争力的?本期大咖说,阿里云数据库开源负责人惊玄携手CUUG负责人陈卫......