zoukankan      html  css  js  c++  java
  • 2019 SDN上机第5次作业

    1.浏览RYU官网学习RYU控制器的安装和RYU开发入门教程,提交你对于教程代码的理解,包括但不限于:


    描述官方教程实现了一个什么样的交换机功能?

    Add some features to enable the switch to forward the received packets to all ports.

    控制器设定交换机支持什么版本的OpenFlow?

    支持OpenFlow v1.0

    控制器设定了交换机如何处理数据包?

    	@set_ev_cls(ofp_event.EventOFPPacketIn, MAIN_DISPATCHER)
         //表明当Ryu收到OpenFlow packet_in消息时,将产生事件(调用“packet_in_handler”方法)
        def packet_in_handler(self, ev):
            msg = ev.msg
            dp = msg.datapath
            ofp = dp.ofproto
            ofp_parser = dp.ofproto_parser
            actions = [ofp_parser.OFPActionOutput(ofp.OFPP_FLOOD)]
               //动作列表。OFPActionOutput类与packet_out消息一起使用,以指定要从中发送数据包的交换机端口。该应用程序使用OFPP_FLOOD标志来指示应在所有端口上发送数据包。
            out = ofp_parser.OFPPacketOut(
                datapath=dp, buffer_id=msg.buffer_id, in_port=msg.in_port,
                actions=actions)
            dp.send_msg(out)
    

    2.根据官方教程和提供的示例代码(SimpleSwitch.py),将具有自学习功能的交换机代码(SelfLearning.py)补充完整


    补充后的完整代码:

    from ryu.base import app_manager
    from ryu.controller import ofp_event
    from ryu.controller.handler import MAIN_DISPATCHER
    from ryu.controller.handler import set_ev_cls
    from ryu.ofproto import ofproto_v1_0
    
    from ryu.lib.mac import haddr_to_bin
    from ryu.lib.packet import packet
    from ryu.lib.packet import ethernet
    from ryu.lib.packet import ether_types
    
    class SimpleSwitch(app_manager.RyuApp):
    	# TODO define OpenFlow 1.0 version for the switch
    	OFP_VERSIONS = [ofproto_v1_0.OFP_VERSION]
    	# add your code here
    
    	def __init__(self, *args, **kwargs):
    		super(SimpleSwitch, self).__init__(*args, **kwargs)
    		self.mac_to_port = {}
        
    	def add_flow(self, datapath, in_port, dst, src, actions):
    		ofproto = datapath.ofproto
    
    		match = datapath.ofproto_parser.OFPMatch(
                in_port=in_port,
                dl_dst=haddr_to_bin(dst), dl_src=haddr_to_bin(src))
    
    		mod = datapath.ofproto_parser.OFPFlowMod(
                datapath=datapath, match=match, cookie=0,
                command=ofproto.OFPFC_ADD, idle_timeout=0, hard_timeout=0,
                priority=ofproto.OFP_DEFAULT_PRIORITY,
                flags=ofproto.OFPFF_SEND_FLOW_REM, actions=actions)
    		# TODO send modified message out
    		# add your code here
    		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
    
    		pkt = packet.Packet(msg.data)
    		eth = pkt.get_protocol(ethernet.ethernet)
    
    		if eth.ethertype == ether_types.ETH_TYPE_LLDP:
    			# ignore lldp packet
    			return
    		if eth.ethertype == ether_types.ETH_TYPE_IPV6:
    			# ignore ipv6 packet
    			return       
    		
    		dst = eth.dst
    		src = eth.src
    		dpid = datapath.id
    		self.mac_to_port.setdefault(dpid, {})
    
    		self.logger.info("packet in DPID:%s MAC_SRC:%s MAC_DST:%s IN_PORT:%s", dpid, src, dst, msg.in_port)
    
    		# learn a mac address to avoid FLOOD next time.
    		self.mac_to_port[dpid][src] = msg.in_port
    
    		if dst in self.mac_to_port[dpid]:
    			out_port = self.mac_to_port[dpid][dst]
    		else:
    			out_port = ofproto.OFPP_FLOOD
    
    		# TODO define the action for output
    		# add your code here
    		actions = [datapath.ofproto_parser.OFPActionOutput(out_port)]
    
    
            # install a flow to avoid packet_in next time
    		if out_port != ofproto.OFPP_FLOOD:
    			self.logger.info("add flow s:DPID:%s Match:[ MAC_SRC:%s MAC_DST:%s IN_PORT:%s ], Action:[OUT_PUT:%s] ", dpid, src, dst, msg.in_port, out_port)
    			self.add_flow(datapath, msg.in_port, dst, src, actions)
    
    		data = None
    		if msg.buffer_id == ofproto.OFP_NO_BUFFER:
    			data = msg.data
    
    		out = datapath.ofproto_parser.OFPPacketOut(datapath=datapath, buffer_id=msg.buffer_id, in_port=msg.in_port,actions=actions, data=data)
    		datapath.send_msg(out)
    

    3.创建一个最简拓扑,并连接RYU控制器


    在SimpleSwitch.py目录下运行:

    ryu-manager selflearning.py
    

    在本机使用mininet创建最简拓扑:

    sudo mn --controller=remote,ip=127.0.0.1,port=6633
    

    4.验证自学习交换机的功能,提交分析过程和验证结果


    此时交换机s1上并无流表:

    在Mininet CLI运行h1 ping h2,h1发送广播寻找h2,

    再次使用sudo ovs-ofctl dump-flows s1查看流表:

    h1 ping h2时,在wireshark抓包分析如下:


    5.写下你的实验体会



    安装是个漫长又艰难的过程,面临着虚拟机随时可能崩溃的危险,但按照老师的教程一步一步走下来,最终还是成功安装好了。ryu控制器的框架理解起来也有一定的困难,看了不少教程,稍微有些理解,通过实践,进一步加深理解。ryu比较灵活,可以用来打造属于自己风格的自定义控制器。

  • 相关阅读:
    DRF频率、分页、解析器、渲染器
    DRF的版本、认证、权限
    Django Rest Framework 视图和路由
    restfull规范
    DRF序列化
    类的super
    AngularJs自定义指令详解(1)
    AngularJs自定义指令详解(5)
    angular 自定义指令详解 Directive
    require js define 函数
  • 原文地址:https://www.cnblogs.com/0717fei/p/11946303.html
Copyright © 2011-2022 走看看