SDN-on Fifth jobs

2019 SDN-on Fifth jobs

1. Browse RYU official website learn to install and controller RYU RYU develop introductory tutorial , tutorials Submit your understanding of the code, including, but not limited to:

  • 1.1 Description Official Tutorial realized what kind of switch function?

    A: The official tutorial implements a received packet to all ports of the switch function

  • What version of the OpenFlow 1.2 controller sets the switches support?

    A: The controller sets the switch supports OpenFlow 1.0

  • 1.3 controller set switch how to handle a packet?

    answer:

    @set_ev_cls(ofp_event.EventOFPPacketIn, MAIN_DISPATCHER)
        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)]
            out = ofp_parser.OFPPacketOut(
                datapath=dp, buffer_id=msg.buffer_id,in_port=msg.in_port,
                actions=actions)
            dp.send_msg(out) 

    As shown in the code above, a new method of 'packet_in_handler' has been added to L2Switch class. When Ryu received OpenFlow packet_in message, calling this method. The trick is to "set_ev_cls" decorator. The decorator told Ryu when decorative function should be called. The first parameter indicates the type of event decorator this function should be called; second parameter indicates the state of the switch.

    In the first half of packet_in_handler function:

    • ev.msg packet_in shows a data structure of the object;
    • msg.dp object represents a data path (switch);
    • dp.ofproto and dp.ofproto_parser and switches are objects that represent Ryu negotiated OpenFlow protocol;
      the second half in packet_in_handler function:
    • Used in conjunction with class OFPActionOutput packet_out message, the switch sends the packet to specify the port from which. The application uses OFPP_FLOOD flag to indicate that the data packet should be sent on all ports;
    • OFPPacketOut message class for constructing packet_out;
    • If a class object call message OpenFlow send_msg method Datapath class, Ryu generates line data format and sends it to the switch.

The official tutorial and sample code (SimpleSwitch.py) provided with a switch to the code (SelfLearning.py) self-learning function of the full complement

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
from ryu.lib.packet import ipv4


class SimpleSwitch(app_manager.RyuApp):
    # TODO define OpenFlow 1.0 version for the switch
    # add your code here
    OFP_VERSIONS = [ofproto_v1_0.OFP_VERSION]


    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
        

        # TODO define the OpenFlow Packet Out
        # add your code here
        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)
        print ("PACKET_OUT...")

3. Create a simple topology in most mininet, and a controller connected to RYU

img

Topology Code:

#!/usr/bin/python
#Creating Inernet Topo


from mininet.topo import Topo

class MyTopo(Topo):

    def __init__(self):

        # initilaize topology
        Topo.__init__(self)

        # add hosts and switches
        h1 = self.addHost('h1')
        h2 = self.addHost('h2')

        s1 = self.addSwitch('s1')

        # add links
        self.addLink(h1, s1, 1, 1)
        self.addLink(h2, s1, 1, 2)
        
topos = {'mytopo': (lambda: MyTopo())}
    

img

Use command to connect the controller

ryu-manager SelfLearning.py

4. Verify self-learning function switch, submission process and analyze verification results

Delivers flow table
img
test can ping
img

Ryu connected controller:

cd ryu
ryu-manager SelfLearning.py

The test again pingall
img
hair flow following table:
img

5. Write down your experience experiment

School feel very ignorant, only a step by step tutorial to do according to

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Origin www.cnblogs.com/jayfanc/p/11963224.html