Python Containernet.__init__方法代碼示例

# 需要導入模塊: from mininet.net import Containernet [as 別名]
# 或者: from mininet.net.Containernet import __init__ [as 別名]
    def __init__(self, controller=RemoteController, monitor=False,
                 enable_learning = True,   # in case of RemoteController (Ryu), learning switch behavior can be turned off/on
                 dc_emulation_max_cpu=1.0,  # fraction of overall CPU time for emulation
                 dc_emulation_max_mem=512,  # emulation max mem in MB
                 **kwargs):
        """
        Create an extended version of a Containernet network
        :param dc_emulation_max_cpu: max. CPU time used by containers in data centers
        :param kwargs: path through for Mininet parameters
        :return:
        """
        self.dcs = {}

        # make sure any remaining Ryu processes are killed
        self.killRyu()
        # make sure no containers are left over from a previous emulator run.
        self.removeLeftoverContainers()

        # call original Docker.__init__ and setup default controller
        Containernet.__init__(
            self, switch=OVSKernelSwitch, controller=controller, **kwargs)


        # Ryu management
        self.ryu_process = None
        if controller == RemoteController:
            # start Ryu controller
            self.startRyu(learning_switch=enable_learning)

        # add the specified controller
        self.addController('c0', controller=controller)

        # graph of the complete DC network
        self.DCNetwork_graph = nx.MultiDiGraph()

        # initialize pool of vlan tags to setup the SDN paths
        self.vlans = range(4096)[::-1]

        # link to Ryu REST_API
        ryu_ip = '0.0.0.0'
        ryu_port = '8080'
        self.ryu_REST_api = 'http://{0}:{1}'.format(ryu_ip, ryu_port)

        # monitoring agent
        if monitor:
            self.monitor_agent = DCNetworkMonitor(self)
        else:
            self.monitor_agent = None

        # initialize resource model registrar
        self.rm_registrar = ResourceModelRegistrar(
            dc_emulation_max_cpu, dc_emulation_max_mem)

# 需要導入模塊: from mininet.net import Containernet [as 別名]
# 或者: from mininet.net.Containernet import __init__ [as 別名]
    def __init__(self, controller=RemoteController, monitor=False,
                 enable_learning=False, # learning switch behavior of the default ovs switches icw Ryu controller can be turned off/on, needed for E-LAN functionality
                 dc_emulation_max_cpu=1.0,  # fraction of overall CPU time for emulation
                 dc_emulation_max_mem=512,  # emulation max mem in MB
                 **kwargs):
        """
        Create an extended version of a Containernet network
        :param dc_emulation_max_cpu: max. CPU time used by containers in data centers
        :param kwargs: path through for Mininet parameters
        :return:
        """
        # members
        self.dcs = {}
        self.ryu_process = None
        #list of deployed nsds.E_Lines and E_LANs (uploaded from the dummy gatekeeper)
        self.deployed_nsds = []
        self.deployed_elines = []
        self.deployed_elans = []
        self.vlan_dict = {}

        # flag to indicate if the topology has been stopped (e.g. by api call)
        self.exit = False

        # always cleanup environment before we start the emulator
        self.killRyu()
        cleanup()

        # call original Docker.__init__ and setup default controller
        Containernet.__init__(
            self, switch=OVSKernelSwitch, controller=controller, **kwargs)

        # default switch configuration
        enable_ryu_learning = False
        if enable_learning :
            self.failMode = 'standalone'
            enable_ryu_learning = True
        else:
            self.failMode = 'secure'

        # Ryu management
        if controller == RemoteController:
            # start Ryu controller
            self.startRyu(learning_switch=enable_ryu_learning)

        # add the specified controller
        self.addController('c0', controller=controller)

        # graph of the complete DC network
        self.DCNetwork_graph = nx.MultiDiGraph()

        # initialize pool of vlan tags to setup the SDN paths
        self.vlans = range(1, 4095)[::-1]

        # link to Ryu REST_API
        ryu_ip = 'localhost'
        ryu_port = '8080'
        self.ryu_REST_api = 'http://{0}:{1}'.format(ryu_ip, ryu_port)
        self.RyuSession = requests.Session()

        # monitoring agent
        if monitor:
            self.monitor_agent = DCNetworkMonitor(self)
        else:
            self.monitor_agent = None

        # initialize resource model registrar
        self.rm_registrar = ResourceModelRegistrar(
            dc_emulation_max_cpu, dc_emulation_max_mem)
        self.cpu_period = CPU_PERIOD