# Advanced ML2 configuration for enterprise deployment
[ml2]
# Comprehensive type driver configuration
type_drivers = flat,vlan,vxlan,gre,geneve
tenant_network_types = vxlan,vlan
mechanism_drivers = openvswitch,linuxbridge,sriovnicswitch,macvtap,l2population
extension_drivers = port_security,qos,trunk,dns

# Path MTU discovery for optimal performance
path_mtu = 9000
max_l3_agents_per_router = 3
enable_distributed_floating_ip = true

[ml2_type_flat]
# Provider network configuration
flat_networks = physnet1,physnet2,management,storage

[ml2_type_vlan]
# VLAN network ranges for different tiers
network_vlan_ranges = physnet1:100:199,physnet1:300:399,physnet2:200:299
vlan_transparent = true

[ml2_type_vxlan]
# VXLAN configuration for overlay networks
vni_ranges = 1001:2000,3001:4000
vxlan_group = 239.1.1.1
l2_population = true

[ml2_type_geneve]
# Geneve for advanced overlay capabilities
vni_ranges = 5001:6000
max_header_size = 38

# Custom type driver for specialized hardware
class EnterpriseTypeDriver(api.TypeDriver):
    """Custom type driver for enterprise-specific network types"""
    
    def __init__(self):
        self.enterprise_networks = self._load_enterprise_config()
        self.hardware_integration = self._setup_hardware_integration()
    
    def get_type(self):
        return 'enterprise_sdn'
    
    def initialize(self):
        """Initialize enterprise SDN integration"""
        
        # Initialize hardware controller integration
        self.sdn_controller = self._connect_sdn_controller()
        
        # Set up network virtualization overlay
        self.nvo_fabric = self._initialize_nvo_fabric()
        
        # Configure policy enforcement points
        self.policy_engines = self._setup_policy_engines()
    
    def reserve_provider_segment(self, context, segment):
        """Reserve network segment in enterprise SDN fabric"""
        
        # Validate segment request against enterprise policies
        validation_result = self._validate_enterprise_segment(segment)
        if not validation_result['valid']:
            raise ValueError(f"Segment validation failed: {validation_result['reason']}")
        
        # Reserve segment in SDN controller
        reservation = self.sdn_controller.reserve_segment({
            'network_type': segment['network_type'],
            'physical_network': segment['physical_network'],
            'segmentation_id': segment['segmentation_id'],
            'tenant_id': context.tenant_id
        })
        
        # Configure fabric-wide policies
        self._configure_fabric_policies(segment, reservation)
        
        return segment
    
    def allocate_tenant_segment(self, context):
        """Allocate tenant segment with enterprise policies"""
        
        # Determine optimal segment based on tenant requirements
        tenant_requirements = self._get_tenant_requirements(context.tenant_id)
        
        # Allocate segment from appropriate pool
        segment = self._allocate_from_enterprise_pool(tenant_requirements)
        
        # Apply tenant-specific security policies
        self._apply_tenant_security_policies(segment, context.tenant_id)
        
        return segment
    
    def _setup_hardware_integration(self):
        """Set up integration with enterprise hardware"""
        
        hardware_config = {
            'spine_switches': self._discover_spine_switches(),
            'leaf_switches': self._discover_leaf_switches(),
            'border_routers': self._discover_border_routers(),
            'firewalls': self._discover_enterprise_firewalls(),
            'load_balancers': self._discover_hardware_load_balancers()
        }
        
        return hardware_config

# Enterprise mechanism driver with advanced capabilities
class EnterpriseMechanismDriver(api.MechanismDriver):
    """Advanced mechanism driver for enterprise networking"""
    
    def __init__(self):
        self.network_fabrics = self._initialize_network_fabrics()
        self.service_insertion = self._setup_service_insertion()
        self.telemetry_collector = self._setup_telemetry_collection()
    
    def initialize(self):
        """Initialize enterprise mechanism driver"""
        
        # Set up multi-fabric integration
        self.fabric_managers = {}
        for fabric_name, fabric_config in self.network_fabrics.items():
            self.fabric_managers[fabric_name] = self._create_fabric_manager(fabric_config)
        
        # Initialize service function chaining
        self.sfc_manager = ServiceFunctionChainingManager()
        
        # Set up network analytics
        self.analytics_engine = NetworkAnalyticsEngine()
    
    def create_network_precommit(self, context):
        """Pre-commit network creation with validation"""
        
        network = context.current
        
        # Validate network against enterprise policies
        policy_validation = self._validate_network_policies(network)
        if not policy_validation['valid']:
            raise PolicyViolationException(policy_validation['violations'])
        
        # Reserve resources across all fabric managers
        for fabric_name, fabric_manager in self.fabric_managers.items():
            reservation = fabric_manager.reserve_network_resources(network)
            context.set_binding_level(fabric_name, reservation)
    
    def create_network_postcommit(self, context):
        """Post-commit network creation with fabric configuration"""
        
        network = context.current
        
        # Configure network across all fabrics
        for fabric_name, fabric_manager in self.fabric_managers.items():
            try:
                fabric_manager.create_network(network)
                
                # Set up monitoring for the network
                self._setup_network_monitoring(network, fabric_name)
                
                # Configure service insertion points
                self._configure_service_insertion(network, fabric_name)
                
            except Exception as e:
                # Rollback on failure
                self._rollback_network_creation(network, fabric_name)
                raise
    
    def create_port_precommit(self, context):
        """Advanced port creation with security validation"""
        
        port = context.current
        network = context.network.current
        
        # Security group validation
        security_validation = self._validate_port_security(port)
        if not security_validation['valid']:
            raise SecurityViolationException(security_validation['violations'])
        
        # QoS policy validation
        qos_validation = self._validate_qos_policies(port)
        if not qos_validation['valid']:
            raise QoSPolicyException(qos_validation['violations'])
        
        # Trunk port validation for sub-interfaces
        if port.get('trunk_details'):
            trunk_validation = self._validate_trunk_configuration(port)
            if not trunk_validation['valid']:
                raise TrunkConfigurationException(trunk_validation['violations'])
    
    def bind_port(self, context):
        """Advanced port binding with multi-segment support"""
        
        port = context.current
        segments_to_bind = context.segments_to_bind
        
        # Determine optimal binding strategy
        binding_strategy = self._determine_binding_strategy(port, segments_to_bind)
        
        for segment in segments_to_bind:
            if self._can_bind_segment(segment, binding_strategy):
                # Create VIF details for the segment
                vif_details = self._create_vif_details(port, segment, binding_strategy)
                
                # Set up port binding
                context.set_binding(
                    segment[api.ID],
                    binding_strategy['vif_type'],
                    vif_details,
                    status=n_const.PORT_STATUS_ACTIVE
                )
                
                # Configure advanced features
                self._configure_port_features(port, segment, vif_details)
                
                return
        
        # No suitable segment found
        LOG.warning(f"Unable to bind port {port['id']} to any segment")
    
    def _create_vif_details(self, port, segment, binding_strategy):
        """Create comprehensive VIF details for port binding"""
        
        vif_details = {
            'port_filter': True,
            'datapath_type': binding_strategy.get('datapath_type', 'system'),
            'ovs_hybrid_plug': binding_strategy.get('hybrid_plug', False)
        }
        
        # Add OVS-specific configuration
        if binding_strategy['vif_type'] == 'ovs':
            vif_details.update({
                'bridge_name': self._get_integration_bridge(),
                'datapath_type': 'system',
                'connectivity': 'L2'
            })
        
        # Add SR-IOV configuration
        elif binding_strategy['vif_type'] == 'hw_veb':
            vif_details.update({
                'vlan': segment.get('segmentation_id'),
                'physical_network': segment.get('physical_network'),
                'profileid': self._generate_profile_id(port)
            })
        
        # Add security group details
        if port.get('security_groups'):
            vif_details['security_groups'] = port['security_groups']
            vif_details['port_security_enabled'] = port.get('port_security_enabled', True)
        
        # Add QoS configuration
        if port.get('qos_policy_id'):
            qos_policy = self._get_qos_policy(port['qos_policy_id'])
            vif_details['qos_policy'] = qos_policy
        
        return vif_details

# Advanced L3 service plugin with enterprise features
class EnterpriseL3ServicePlugin(l3_db.L3_NAT_dbonly_mixin):
    """Enterprise L3 service plugin with advanced routing capabilities"""
    
    supported_extension_aliases = [
        'router', 'ext-gw-mode', 'extraroute', 'l3_agent_scheduler',
        'l3-ha', 'dvr', 'router-service-type', 'l3-flavors',
        'qos-router-gateway-ip', 'router-admin-state-down-before-update'
    ]
    
    def __init__(self):
        super().__init__()
        self.router_schedulers = self._setup_router_schedulers()
        self.bgp_speakers = self._setup_bgp_integration()
        self.route_optimization = self._setup_route_optimization()
    
    def create_router(self, context, router):
        """Create router with enterprise-grade capabilities"""
        
        router_spec = router['router']
        
        # Validate router configuration
        self._validate_router_config(context, router_spec)
        
        # Create router with advanced features
        with db_api.CONTEXT_WRITER.using(context):
            router_db = self._create_router_db(context, router_spec)
            
            # Configure high availability if requested
            if router_spec.get('ha', False):
                self._configure_router_ha(context, router_db)
            
            # Configure distributed routing if requested
            if router_spec.get('distributed', False):
                self._configure_dvr(context, router_db)
            
            # Set up BGP peering if specified
            if router_spec.get('bgp_speaker_id'):
                self._configure_bgp_peering(context, router_db, router_spec['bgp_speaker_id'])
            
            # Configure router-level QoS
            if router_spec.get('qos_policy_id'):
                self._configure_router_qos(context, router_db, router_spec['qos_policy_id'])
        
        # Schedule router to appropriate L3 agents
        self._schedule_router_to_agents(context, router_db)
        
        # Set up monitoring and telemetry
        self._setup_router_monitoring(context, router_db)
        
        return self._make_router_dict(router_db)
    
    def _configure_router_ha(self, context, router_db):
        """Configure high availability for router"""
        
        ha_config = {
            'ha_vr_id': self._allocate_ha_vr_id(context),
            'ha_network': self._get_or_create_ha_network(context),
            'max_l3_agents': 3,  # Configure for 3-node HA
            'min_l3_agents': 2   # Minimum agents for operation
        }
        
        # Create HA router bindings
        ha_router_db = l3_hamode_db.L3HARouterAgentPortBinding(
            router_id=router_db.id,
            **ha_config
        )
        
        context.session.add(ha_router_db)
        
        # Configure VRRP settings
        vrrp_config = self._create_vrrp_configuration(router_db, ha_config)
        self._store_vrrp_configuration(context, router_db.id, vrrp_config)
    
    def _configure_dvr(self, context, router_db):
        """Configure Distributed Virtual Routing"""
        
        # Set distributed flag
        router_db.extra_attributes.distributed = True
        
        # Create distributed router bindings
        dvr_config = {
            'host_routes_enabled': True,
            'snat_namespace_required': True,
            'enable_default_route_bfd': True,
            'enable_default_route_ecmp': True
        }
        
        # Configure distributed SNAT
        if router_db.external_gateway_info:
            self._configure_distributed_snat(context, router_db, dvr_config)
        
        # Set up route optimization
        self._configure_route_optimization(context, router_db)
    
    def _setup_bgp_integration(self):
        """Set up BGP integration for dynamic routing"""
        
        bgp_config = {
            'speakers': {},
            'peer_sessions': {},
            'route_redistribution': {
                'connected': True,
                'static': True,
                'ospf': False,
                'rip': False
            },
            'route_maps': {},
            'prefix_lists': {}
        }
        
        return bgp_config
    
    def create_floatingip(self, context, floatingip):
        """Create floating IP with advanced features"""
        
        floatingip_spec = floatingip['floatingip']
        
        # Enhanced floating IP with QoS and monitoring
        with db_api.CONTEXT_WRITER.using(context):
            floatingip_db = super().create_floatingip(context, floatingip)
            
            # Configure QoS for floating IP if specified
            if floatingip_spec.get('qos_policy_id'):
                self._configure_floatingip_qos(
                    context, floatingip_db, floatingip_spec['qos_policy_id']
                )
            
            # Set up floating IP monitoring
            self._setup_floatingip_monitoring(context, floatingip_db)
            
            # Configure DNS integration
            if floatingip_spec.get('dns_name'):
                self._configure_floatingip_dns(
                    context, floatingip_db, floatingip_spec['dns_name']
                )
        
        return floatingip_db

# Advanced VXLAN configuration with hardware acceleration
[ovs]
# OVS configuration for VXLAN optimization
datapath_type = netdev
vhostuser_socket_dir = /var/lib/vhost_sockets
bridge_mappings = physnet1:br-ex,physnet2:br-provider

# DPDK configuration for high-performance packet processing
[ovs-dpdk]
enabled = true
socket_memory = 2048,2048
memory_channels = 4
pmd_cpu_mask = 0xc
lcore_mask = 0x3
vhost_sock_dir = /var/lib/vhost_sockets

# VXLAN hardware offload configuration
[ml2_type_vxlan]
vni_ranges = 1:16777215
vxlan_group = 239.1.1.1
l2_population = true
arp_responder = true
enable_distributed_floating_ip = true

# Advanced VXLAN agent configuration
class AdvancedVXLANAgent(ovs_neutron_agent.OVSNeutronAgent):
    """Enhanced VXLAN agent with hardware acceleration support"""
    
    def __init__(self, bridge_classes, ext_manager, conf):
        super().__init__(bridge_classes, ext_manager, conf)
        self.hardware_offload = self._setup_hardware_offload()
        self.tunnel_optimization = self._setup_tunnel_optimization()
        self.performance_monitor = self._setup_performance_monitoring()
    
    def _setup_hardware_offload(self):
        """Configure hardware offload capabilities"""
        
        offload_config = {
            'tx_checksum_offload': True,
            'rx_checksum_offload': True,
            'tso_offload': True,
            'gro_offload': True,
            'vxlan_offload': True,
            'flow_director': True
        }
        
        # Detect capable NICs
        capable_nics = self._detect_offload_capable_nics()
        
        for nic in capable_nics:
            self._configure_nic_offload(nic, offload_config)
        
        return offload_config
    
    def _setup_tunnel_optimization(self):
        """Set up tunnel-specific optimizations"""
        
        tunnel_config = {
            'mtu_optimization': True,
            'checksum_optimization': True,
            'udp_port_optimization': True,
            'flow_caching': True,
            'tunnel_header_compression': True
        }
        
        # Configure optimal MTU sizes
        self._configure_tunnel_mtu(tunnel_config)
        
        # Set up flow caching
        self._configure_flow_caching(tunnel_config)
        
        return tunnel_config
    
    def _configure_vxlan_endpoint(self, tunnel_ip, vni):
        """Configure VXLAN tunnel endpoint with optimization"""
        
        # Create VXLAN interface with optimized settings
        vxlan_config = {
            'name': f'vxlan-{vni}',
            'type': 'vxlan',
            'options': {
                'remote_ip': tunnel_ip,
                'key': vni,
                'df_default': False,
                'csum': False,  # Disable for performance
                'udp_csum': False,  # Disable for performance
                'ttl': 64,
                'tos': 'inherit'
            }
        }
        
        # Apply hardware acceleration if available
        if self.hardware_offload['vxlan_offload']:
            vxlan_config['options']['offload'] = 'tx_rx'
        
        # Configure interface
        interface = self.int_br.add_tunnel_port(**vxlan_config)
        
        # Set up flow rules for optimal forwarding
        self._configure_tunnel_flows(interface, vni)
        
        return interface
    
    def _configure_tunnel_flows(self, interface, vni):
        """Configure optimized flow rules for tunnel"""
        
        # High-priority exact match flows
        exact_match_flows = [
            {
                'table': 0,
                'priority': 10000,
                'match': {'in_port': interface, 'tunnel_id': vni},
                'actions': ['resubmit(,10)']
            },
            {
                'table': 10,
                'priority': 10000,
                'match': {'tunnel_id': vni, 'dl_dst': 'ff:ff:ff:ff:ff:ff'},
                'actions': ['flood']
            }
        ]
        
        # Install flows with hardware optimization
        for flow in exact_match_flows:
            self.int_br.add_flow(**flow)

# Geneve implementation with extensible headers
class GeneveNetworkManager:
    """Advanced Geneve network management with extensible headers"""
    
    def __init__(self):
        self.geneve_ports = {}
        self.header_extensions = self._setup_header_extensions()
        self.policy_engines = self._setup_policy_engines()
    
    def create_geneve_network(self, network_spec):
        """Create Geneve network with custom headers"""
        
        geneve_config = {
            'vni': network_spec['segmentation_id'],
            'remote_endpoints': network_spec['remote_endpoints'],
            'header_extensions': self._prepare_header_extensions(network_spec),
            'policy_rules': self._prepare_policy_rules(network_spec)
        }
        
        # Create Geneve tunnel
        tunnel_interface = self._create_geneve_tunnel(geneve_config)
        
        # Configure policy enforcement
        self._configure_policy_enforcement(tunnel_interface, geneve_config)
        
        # Set up telemetry collection
        self._setup_geneve_telemetry(tunnel_interface, geneve_config)
        
        return tunnel_interface
    
    def _prepare_header_extensions(self, network_spec):
        """Prepare Geneve header extensions for advanced features"""
        
        extensions = []
        
        # Security classification extension
        if network_spec.get('security_classification'):
            security_ext = {
                'class': 0x0101,  # Security class
                'type': 0x01,     # Classification type
                'length': 4,
                'data': self._encode_security_classification(
                    network_spec['security_classification']
                )
            }
            extensions.append(security_ext)
        
        # QoS marking extension
        if network_spec.get('qos_requirements'):
            qos_ext = {
                'class': 0x0102,  # QoS class
                'type': 0x01,     # DSCP marking
                'length': 4,
                'data': self._encode_qos_requirements(
                    network_spec['qos_requirements']
                )
            }
            extensions.append(qos_ext)
        
        # Service chain extension
        if network_spec.get('service_chain'):
            sfc_ext = {
                'class': 0x0103,  # Service Function Chaining
                'type': 0x01,     # Service path
                'length': 8,
                'data': self._encode_service_chain(
                    network_spec['service_chain']
                )
            }
            extensions.append(sfc_ext)
        
        # Custom tenant extension
        if network_spec.get('tenant_metadata'):
            tenant_ext = {
                'class': 0x8000,  # Experimental class
                'type': 0x01,     # Tenant metadata
                'length': len(network_spec['tenant_metadata']),
                'data': network_spec['tenant_metadata']
            }
            extensions.append(tenant_ext)
        
        return extensions
    
    def _create_geneve_tunnel(self, geneve_config):
        """Create optimized Geneve tunnel interface"""
        
        # Calculate optimal UDP port
        udp_port = self._calculate_optimal_udp_port(geneve_config)
        
        tunnel_config = {
            'name': f"geneve-{geneve_config['vni']}",
            'type': 'geneve',
            'options': {
                'key': geneve_config['vni'],
                'remote_ip': 'flow',  # Use flow-based tunneling
                'udp_dst_port': udp_port,
                'header_extensions': geneve_config['header_extensions']
            }
        }
        
        # Create tunnel interface
        interface = self.ovs_bridge.add_tunnel_port(**tunnel_config)
        
        # Configure advanced flow rules
        self._configure_geneve_flows(interface, geneve_config)
        
        return interface

# Advanced SR-IOV configuration and management
class SRIOVNetworkManager:
    """Comprehensive SR-IOV network management"""
    
    def __init__(self):
        self.sriov_devices = self._discover_sriov_devices()
        self.vf_pool = self._initialize_vf_pool()
        self.performance_profiles = self._load_performance_profiles()
    
    def _discover_sriov_devices(self):
        """Discover and inventory SR-IOV capable devices"""
        
        sriov_devices = {}
        
        # Scan PCI devices for SR-IOV capability
        for pci_device in self._scan_pci_devices():
            if self._has_sriov_capability(pci_device):
                device_info = {
                    'vendor_id': pci_device['vendor_id'],
                    'device_id': pci_device['device_id'],
                    'pci_address': pci_device['pci_address'],
                    'max_vfs': self._get_max_vfs(pci_device),
                    'current_vfs': self._get_current_vfs(pci_device),
                    'numa_node': self._get_numa_node(pci_device),
                    'capabilities': self._get_device_capabilities(pci_device)
                }
                
                sriov_devices[pci_device['pci_address']] = device_info
        
        return sriov_devices
    
    def create_sriov_port(self, port_spec, performance_profile='high_performance'):
        """Create SR-IOV port with specified performance profile"""
        
        # Select optimal VF based on requirements
        selected_vf = self._select_optimal_vf(port_spec, performance_profile)
        
        if not selected_vf:
            raise NoAvailableVFException("No suitable VF available for port requirements")
        
        # Configure VF with performance optimizations
        vf_config = self._configure_vf_optimizations(selected_vf, performance_profile)
        
        # Set up advanced features
        if port_spec.get('vlan_offload', True):
            self._configure_vlan_offload(selected_vf, vf_config)
        
        if port_spec.get('checksum_offload', True):
            self._configure_checksum_offload(selected_vf, vf_config)
        
        if port_spec.get('rss_queues'):
            self._configure_rss_queues(selected_vf, port_spec['rss_queues'])
        
        # Apply QoS configuration
        if port_spec.get('qos_policy'):
            self._apply_vf_qos(selected_vf, port_spec['qos_policy'])
        
        # Reserve VF and create port binding
        port_binding = self._create_port_binding(selected_vf, port_spec, vf_config)
        
        return port_binding
    
    def _configure_vf_optimizations(self, vf_info, performance_profile):
        """Configure VF-specific performance optimizations"""
        
        profile_config = self.performance_profiles[performance_profile]
        
        vf_config = {
            'trust_mode': profile_config.get('trust_mode', True),
            'spoofcheck': profile_config.get('spoofcheck', False),
            'link_state': 'enable',
            'max_tx_rate': profile_config.get('max_tx_rate', 0),  # 0 = unlimited
            'min_tx_rate': profile_config.get('min_tx_rate', 0),
            'vlan_strip': profile_config.get('vlan_strip', True),
            'vlan_insert': profile_config.get('vlan_insert', True)
        }
        
        # Apply configuration to VF
        for config_key, config_value in vf_config.items():
            self._apply_vf_config(vf_info, config_key, config_value)
        
        # Configure interrupt moderation
        if profile_config.get('interrupt_moderation'):
            self._configure_interrupt_moderation(
                vf_info, profile_config['interrupt_moderation']
            )
        
        # Set up CPU affinity for optimal performance
        if profile_config.get('cpu_affinity'):
            self._configure_cpu_affinity(vf_info, profile_config['cpu_affinity'])
        
        return vf_config
    
    def _load_performance_profiles(self):
        """Load predefined performance profiles for different workloads"""
        
        profiles = {
            'low_latency': {
                'description': 'Ultra-low latency for financial trading',
                'trust_mode': True,
                'spoofcheck': False,
                'max_tx_rate': 0,  # Unlimited
                'interrupt_moderation': {
                    'rx_usecs': 0,  # No interrupt coalescing
                    'tx_usecs': 0,
                    'rx_frames': 1,
                    'tx_frames': 1
                },
                'cpu_affinity': 'dedicated',
                'numa_strict': True,
                'packet_steering': 'rss+rps',
                'tcp_offload': False  # Disable for predictable latency
            },
            'high_throughput': {
                'description': 'Maximum throughput for data processing',
                'trust_mode': True,
                'spoofcheck': False,
                'max_tx_rate': 0,
                'interrupt_moderation': {
                    'rx_usecs': 50,  # Moderate coalescing
                    'tx_usecs': 50,
                    'rx_frames': 32,
                    'tx_frames': 32
                },
                'cpu_affinity': 'shared',
                'numa_strict': False,
                'packet_steering': 'rss',
                'tcp_offload': True,
                'large_receive_offload': True,
                'generic_segmentation_offload': True
            },
            'balanced': {
                'description': 'Balanced performance for general workloads',
                'trust_mode': False,
                'spoofcheck': True,
                'max_tx_rate': 0,
                'interrupt_moderation': {
                    'rx_usecs': 25,
                    'tx_usecs': 25,
                    'rx_frames': 16,
                    'tx_frames': 16
                },
                'cpu_affinity': 'shared',
                'numa_strict': False,
                'packet_steering': 'rss',
                'tcp_offload': True
            }
        }
        
        return profiles

# Advanced security group implementation with threat detection
class EnterpriseSecurityGroupManager:
    """Enterprise-grade security group management with advanced threat detection"""
    
    def __init__(self):
        self.threat_intelligence = self._setup_threat_intelligence()
        self.dpi_engines = self._setup_deep_packet_inspection()
        self.ml_anomaly_detection = self._setup_ml_anomaly_detection()
        self.security_policies = self._load_security_policies()
    
    def create_advanced_security_group(self, context, security_group_spec):
        """Create security group with advanced threat protection"""
        
        # Validate security group configuration
        validation_result = self._validate_security_group_config(security_group_spec)
        if not validation_result['valid']:
            raise SecurityConfigurationError(validation_result['errors'])
        
        # Create base security group
        security_group = self._create_base_security_group(context, security_group_spec)
        
        # Configure advanced features
        if security_group_spec.get('threat_detection', True):
            self._configure_threat_detection(security_group)
        
        if security_group_spec.get('dpi_enabled', False):
            self._configure_deep_packet_inspection(security_group)
        
        if security_group_spec.get('anomaly_detection', True):
            self._configure_anomaly_detection(security_group)
        
        # Set up compliance monitoring
        if security_group_spec.get('compliance_framework'):
            self._configure_compliance_monitoring(
                security_group, security_group_spec['compliance_framework']
            )
        
        return security_group
    
    def create_intelligent_security_rule(self, context, rule_spec):
        """Create security rule with intelligent threat adaptation"""
        
        # Base rule creation
        security_rule = self._create_base_rule(context, rule_spec)
        
        # Add threat intelligence integration
        if rule_spec.get('threat_intelligence', True):
            threat_feeds = self._get_relevant_threat_feeds(rule_spec)
            self._integrate_threat_intelligence(security_rule, threat_feeds)
        
        # Configure adaptive policies
        if rule_spec.get('adaptive_policy', False):
            adaptive_config = self._create_adaptive_policy_config(rule_spec)
            self._configure_adaptive_policy(security_rule, adaptive_config)
        
        # Set up behavioral analysis
        if rule_spec.get('behavioral_analysis', True):
            behavioral_config = self._create_behavioral_analysis_config(rule_spec)
            self._configure_behavioral_analysis(security_rule, behavioral_config)
        
        return security_rule
    
    def _setup_threat_intelligence(self):
        """Set up threat intelligence integration"""
        
        threat_intel_config = {
            'feeds': {
                'malware_ips': {
                    'url': 'https://feeds.example.com/malware-ips',
                    'update_interval': 300,  # 5 minutes
                    'format': 'json',
                    'priority': 'high'
                },
                'botnet_c2': {
                    'url': 'https://feeds.example.com/botnet-c2',
                    'update_interval': 600,  # 10 minutes
                    'format': 'csv',
                    'priority': 'high'
                },
                'reputation_feeds': {
                    'url': 'https://feeds.example.com/ip-reputation',
                    'update_interval': 1800,  # 30 minutes
                    'format': 'json',
                    'priority': 'medium'
                }
            },
            'processors': {
                'correlation_engine': self._setup_correlation_engine(),
                'risk_scoring': self._setup_risk_scoring_engine(),
                'false_positive_reduction': self._setup_fp_reduction()
            }
        }
        
        return threat_intel_config
    
    def _configure_deep_packet_inspection(self, security_group):
        """Configure deep packet inspection for security group"""
        
        dpi_config = {
            'inspection_rules': [
                {
                    'name': 'malware_detection',
                    'protocol': 'tcp',
                    'port_ranges': [80, 443, 8080, 8443],
                    'signatures': self._load_malware_signatures(),
                    'action': 'block_and_alert'
                },
                {
                    'name': 'data_exfiltration',
                    'protocol': 'tcp',
                    'patterns': self._load_exfiltration_patterns(),
                    'threshold': 'high',
                    'action': 'alert_and_throttle'
                },
                {
                    'name': 'command_injection',
                    'protocol': 'http',
                    'http_methods': ['POST', 'PUT'],
                    'patterns': self._load_injection_patterns(),
                    'action': 'block_and_alert'
                }
            ],
            'ssl_inspection': {
                'enabled': True,
                'certificate_pinning': True,
                'ja3_fingerprinting': True,
                'tls_anomaly_detection': True
            },
            'performance_optimization': {
                'hardware_acceleration': True,
                'flow_caching': True,
                'pattern_caching': True,
                'multi_threading': True
            }
        }
        
        # Apply DPI configuration
        for rule in dpi_config['inspection_rules']:
            self._create_dpi_rule(security_group, rule)
        
        # Configure SSL inspection
        if dpi_config['ssl_inspection']['enabled']:
            self._configure_ssl_inspection(security_group, dpi_config['ssl_inspection'])
        
        return dpi_config
    
    def _setup_ml_anomaly_detection(self):
        """Set up machine learning-based anomaly detection"""
        
        ml_config = {
            'models': {
                'network_traffic_anomaly': {
                    'algorithm': 'isolation_forest',
                    'features': ['packet_size', 'inter_arrival_time', 'flow_duration'],
                    'training_window': '7d',
                    'sensitivity': 0.1,
                    'retrain_interval': '24h'
                },
                'protocol_anomaly': {
                    'algorithm': 'lstm_autoencoder',
                    'features': ['protocol_sequence', 'timing_patterns'],
                    'training_window': '14d',
                    'sensitivity': 0.05,
                    'retrain_interval': '48h'
                },
                'behavioral_anomaly': {
                    'algorithm': 'clustering',
                    'features': ['connection_patterns', 'data_volumes', 'timing'],
                    'training_window': '30d',
                    'sensitivity': 0.2,
                    'retrain_interval': '7d'
                }
            },
            'ensemble_methods': {
                'voting_threshold': 0.6,
                'confidence_weighting': True,
                'temporal_correlation': True
            }
        }
        
        return ml_config

# Zero-trust network architecture implementation
class ZeroTrustNetworkManager:
    """Implement comprehensive zero-trust networking"""
    
    def __init__(self):
        self.identity_manager = self._setup_identity_management()
        self.policy_engine = self._setup_policy_engine()
        self.verification_engine = self._setup_verification_engine()
        self.analytics_engine = self._setup_analytics_engine()
    
    def create_zero_trust_network(self, network_spec):
        """Create network with zero-trust architecture"""
        
        # Create microsegmented network
        network = self._create_microsegmented_network(network_spec)
        
        # Configure identity-based access control
        identity_config = self._configure_identity_based_access(network, network_spec)
        
        # Set up continuous verification
        verification_config = self._setup_continuous_verification(network)
        
        # Configure policy enforcement points
        pep_config = self._configure_policy_enforcement_points(network)
        
        # Set up comprehensive logging and analytics
        analytics_config = self._configure_zero_trust_analytics(network)
        
        zero_trust_config = {
            'network': network,
            'identity': identity_config,
            'verification': verification_config,
            'policy_enforcement': pep_config,
            'analytics': analytics_config
        }
        
        return zero_trust_config
    
    def _create_microsegmented_network(self, network_spec):
        """Create microsegmented network architecture"""
        
        microsegments = []
        
        # Create application-tier microsegments
        for tier in network_spec.get('application_tiers', []):
            segment = {
                'name': f"tier-{tier['name']}",
                'subnet': tier['subnet'],
                'isolation_level': tier.get('isolation_level', 'strict'),
                'allowed_protocols': tier.get('allowed_protocols', []),
                'security_policies': tier.get('security_policies', [])
            }
            
            # Create isolated network segment
            network_segment = self._create_network_segment(segment)
            
            # Configure east-west traffic policies
            self._configure_east_west_policies(network_segment, segment)
            
            # Set up north-south traffic controls
            self._configure_north_south_policies(network_segment, segment)
            
            microsegments.append(network_segment)
        
        # Configure inter-segment communication policies
        self._configure_inter_segment_policies(microsegments, network_spec)
        
        return microsegments
    
    def _setup_continuous_verification(self, network):
        """Set up continuous verification for all network transactions"""
        
        verification_config = {
            'device_verification': {
                'certificate_based': True,
                'device_fingerprinting': True,
                'posture_assessment': True,
                'continuous_monitoring': True
            },
            'user_verification': {
                'multi_factor_authentication': True,
                'behavioral_biometrics': True,
                'risk_based_authentication': True,
                'session_monitoring': True
            },
            'application_verification': {
                'mutual_tls': True,
                'api_authentication': True,
                'jwt_validation': True,
                'application_fingerprinting': True
            },
            'data_verification': {
                'data_classification': True,
                'encryption_enforcement': True,
                'data_loss_prevention': True,
                'content_inspection': True
            }
        }
        
        # Implement verification points
        for segment in network:
            self._implement_verification_points(segment, verification_config)
        
        return verification_config
    
    def verify_network_transaction(self, transaction_context):
        """Verify network transaction using zero-trust principles"""
        
        verification_result = {
            'verified': False,
            'risk_score': 0,
            'trust_level': 'none',
            'required_actions': [],
            'policy_decisions': []
        }
        
        # Device verification
        device_verification = self._verify_device(transaction_context['device'])
        verification_result['device_trust'] = device_verification
        
        # User verification
        user_verification = self._verify_user(transaction_context['user'])
        verification_result['user_trust'] = user_verification
        
        # Application verification
        app_verification = self._verify_application(transaction_context['application'])
        verification_result['application_trust'] = app_verification
        
        # Data verification
        data_verification = self._verify_data_access(transaction_context['data_request'])
        verification_result['data_trust'] = data_verification
        
        # Calculate composite risk score
        risk_score = self._calculate_composite_risk_score([
            device_verification, user_verification, 
            app_verification, data_verification
        ])
        
        verification_result['risk_score'] = risk_score
        verification_result['trust_level'] = self._determine_trust_level(risk_score)
        
        # Make policy decision
        policy_decision = self._make_policy_decision(verification_result)
        verification_result['policy_decisions'].append(policy_decision)
        
        # Determine if transaction should be allowed
        verification_result['verified'] = policy_decision['action'] == 'allow'
        
        return verification_result

# Comprehensive performance optimization framework
class NeutronPerformanceOptimizer:
    """Advanced performance optimization for Neutron deployments"""
    
    def __init__(self):
        self.performance_baselines = self._establish_performance_baselines()
        self.optimization_engine = self._setup_optimization_engine()
        self.monitoring_system = self._setup_performance_monitoring()
        self.tuning_algorithms = self._load_tuning_algorithms()
    
    def optimize_neutron_deployment(self, deployment_config):
        """Optimize entire Neutron deployment for maximum performance"""
        
        optimization_plan = {
            'hardware_optimization': self._optimize_hardware_configuration(deployment_config),
            'kernel_optimization': self._optimize_kernel_parameters(deployment_config),
            'ovs_optimization': self._optimize_ovs_configuration(deployment_config),
            'agent_optimization': self._optimize_agent_configuration(deployment_config),
            'database_optimization': self._optimize_database_performance(deployment_config),
            'message_queue_optimization': self._optimize_message_queue(deployment_config)
        }
        
        # Apply optimizations in order
        optimization_results = {}
        for optimization_type, optimization_config in optimization_plan.items():
            result = self._apply_optimization(optimization_type, optimization_config)
            optimization_results[optimization_type] = result
        
        # Validate performance improvements
        performance_validation = self._validate_performance_improvements(optimization_results)
        
        return {
            'optimization_plan': optimization_plan,
            'results': optimization_results,
            'validation': performance_validation
        }
    
    def _optimize_hardware_configuration(self, deployment_config):
        """Optimize hardware configuration for maximum performance"""
        
        hardware_optimizations = {
            'cpu_configuration': {
                'isolcpus': self._calculate_optimal_cpu_isolation(),
                'rcu_nocbs': True,
                'nohz_full': True,
                'processor_affinity': self._calculate_processor_affinity(),
                'numa_balancing': False,  # Disable for consistent performance
                'transparent_hugepages': 'never'  # Disable for predictable latency
            },
            'memory_configuration': {
                'hugepages': {
                    '1GB_pages': self._calculate_optimal_hugepages('1GB'),
                    '2MB_pages': self._calculate_optimal_hugepages('2MB'),
                    'allocation_strategy': 'interleave'
                },
                'swappiness': 1,  # Minimize swapping
                'dirty_ratio': 5,  # Reduce dirty page ratio
                'dirty_background_ratio': 2
            },
            'network_hardware': {
                'nic_optimization': self._optimize_network_interfaces(),
                'interrupt_optimization': self._optimize_interrupt_handling(),
                'rss_configuration': self._configure_receive_side_scaling(),
                'flow_control': self._configure_flow_control()
            },
            'storage_optimization': {
                'io_scheduler': 'none',  # Use none for NVMe
                'queue_depth': self._calculate_optimal_queue_depth(),
                'read_ahead': 0,  # Disable read-ahead for random I/O
                'write_cache': self._configure_write_cache()
            }
        }
        
        return hardware_optimizations
    
    def _optimize_ovs_configuration(self, deployment_config):
        """Optimize Open vSwitch configuration for high performance"""
        
        ovs_optimizations = {
            'datapath_configuration': {
                'datapath_type': 'netdev',  # Use userspace datapath
                'pmd_cpu_mask': self._calculate_pmd_cpu_mask(),
                'pmd_rxq_affinity': self._calculate_rxq_affinity(),
                'n_rxq': self._calculate_optimal_rxq_count(),
                'n_txq': self._calculate_optimal_txq_count()
            },
            'memory_configuration': {
                'dpdk_socket_mem': self._calculate_dpdk_socket_memory(),
                'dpdk_lcore_mask': self._calculate_lcore_mask(),
                'vhost_sock_dir': '/var/lib/vhost_sockets',
                'huge_page_mount': '/mnt/huge'
            },
            'bridge_configuration': {
                'flow_eviction_threshold': 10000,
                'max_idle': 10000,
                'max_revalidator': 5000,
                'n_handler_threads': self._calculate_handler_threads(),
                'n_revalidator_threads': self._calculate_revalidator_threads()
            },
            'flow_optimization': {
                'enable_megaflows': True,
                'enable_ufid': True,
                'ofp_version': 'OpenFlow14',
                'flow_limit': 200000
            },
            'tunnel_optimization': {
                'vxlan_checksum': False,  # Disable for performance
                'geneve_checksum': False,
                'tunnel_csum': False,
                'udp_csum': False
            }
        }
        
        return ovs_optimizations
    
    def _optimize_agent_configuration(self, deployment_config):
        """Optimize Neutron agent configuration"""
        
        agent_optimizations = {
            'ovs_agent': {
                'polling_interval': 2,
                'minimize_polling': True,
                'enable_distributed_routing': True,
                'arp_responder': True,
                'l2_population': True,
                'drop_flows_on_start': False,
                'tunnel_csum': False,
                'vxlan_udp_port': 4789,
                'of_interface': 'native',
                'ovsdb_interface': 'native'
            },
            'l3_agent': {
                'agent_mode': 'dvr_snat',
                'enable_metadata_proxy': True,
                'enable_isolated_metadata': True,
                'metadata_port': 80,
                'metadata_access_mark': '0x1',
                'external_network_bridge': '',
                'gateway_external_network_id': '',
                'enable_router_ha': True,
                'ha_vrrp_auth_type': 'PASS',
                'ha_keepalived_use_no_track': True
            },
            'dhcp_agent': {
                'dhcp_driver': 'neutron.agent.linux.dhcp.Dnsmasq',
                'enable_isolated_metadata': True,
                'enable_metadata_network': False,
                'num_sync_threads': 4,
                'dhcp_lease_duration': 86400,
                'dhcp_renewal_time': 43200,
                'dhcp_rebinding_time': 75600
            }
        }
        
        return agent_optimizations
    
    def _calculate_pmd_cpu_mask(self):
        """Calculate optimal PMD CPU mask for DPDK"""
        
        # Get CPU topology
        cpu_info = self._get_cpu_topology()
        
        # Reserve CPUs for PMD threads (avoid CPU 0 and hyperthreads of CPU 0)
        numa_nodes = cpu_info['numa_nodes']
        pmd_cpus = []
        
        for numa_node in numa_nodes:
            # Use 2-4 CPUs per NUMA node for PMD
            available_cpus = numa_node['cpus'][2:6]  # Skip first 2 CPUs
            pmd_cpus.extend(available_cpus)
        
        # Convert to hex mask
        cpu_mask = 0
        for cpu in pmd_cpus:
            cpu_mask |= (1 << cpu)
        
        return hex(cpu_mask)

# Intelligent network analytics for performance optimization
class NetworkPerformanceAnalytics:
    """Advanced analytics for network performance optimization"""
    
    def __init__(self):
        self.metrics_collector = self._setup_metrics_collection()
        self.analytics_engine = self._setup_analytics_engine()
        self.ml_models = self._load_ml_models()
        self.optimization_engine = self._setup_optimization_engine()
    
    def analyze_network_performance(self, time_window='1h'):
        """Comprehensive network performance analysis"""
        
        # Collect performance metrics
        metrics = self._collect_performance_metrics(time_window)
        
        # Analyze traffic patterns
        traffic_analysis = self._analyze_traffic_patterns(metrics)
        
        # Detect performance bottlenecks
        bottleneck_analysis = self._detect_performance_bottlenecks(metrics)
        
        # Predict future performance issues
        prediction_analysis = self._predict_performance_issues(metrics)
        
        # Generate optimization recommendations
        optimization_recommendations = self._generate_optimization_recommendations(
            traffic_analysis, bottleneck_analysis, prediction_analysis
        )
        
        analysis_result = {
            'timestamp': datetime.utcnow(),
            'time_window': time_window,
            'traffic_patterns': traffic_analysis,
            'bottlenecks': bottleneck_analysis,
            'predictions': prediction_analysis,
            'recommendations': optimization_recommendations
        }
        
        return analysis_result
    
    def _analyze_traffic_patterns(self, metrics):
        """Analyze network traffic patterns for optimization opportunities"""
        
        traffic_analysis = {
            'flow_characteristics': self._analyze_flow_characteristics(metrics),
            'protocol_distribution': self._analyze_protocol_distribution(metrics),
            'geographical_patterns': self._analyze_geographical_patterns(metrics),
            'temporal_patterns': self._analyze_temporal_patterns(metrics),
            'application_patterns': self._analyze_application_patterns(metrics)
        }
        
        # Detect elephant flows
        elephant_flows = self._detect_elephant_flows(metrics)
        traffic_analysis['elephant_flows'] = elephant_flows
        
        # Analyze east-west vs north-south traffic
        traffic_direction = self._analyze_traffic_direction(metrics)
        traffic_analysis['traffic_direction'] = traffic_direction
        
        # Detect traffic anomalies
        anomalies = self._detect_traffic_anomalies(metrics)
        traffic_analysis['anomalies'] = anomalies
        
        return traffic_analysis
    
    def _detect_performance_bottlenecks(self, metrics):
        """Detect and analyze performance bottlenecks"""
        
        bottleneck_analysis = {
            'cpu_bottlenecks': self._analyze_cpu_bottlenecks(metrics),
            'memory_bottlenecks': self._analyze_memory_bottlenecks(metrics),
            'network_bottlenecks': self._analyze_network_bottlenecks(metrics),
            'storage_bottlenecks': self._analyze_storage_bottlenecks(metrics),
            'database_bottlenecks': self._analyze_database_bottlenecks(metrics)
        }
        
        # Correlate bottlenecks with performance impact
        for bottleneck_type, bottleneck_data in bottleneck_analysis.items():
            impact_analysis = self._correlate_bottleneck_impact(
                bottleneck_data, metrics
            )
            bottleneck_data['performance_impact'] = impact_analysis
        
        return bottleneck_analysis
    
    def _predict_performance_issues(self, metrics):
        """Predict future performance issues using ML models"""
        
        prediction_results = {}
        
        # CPU utilization prediction
        cpu_prediction = self.ml_models['cpu_prediction'].predict(
            metrics['cpu_utilization_history']
        )
        prediction_results['cpu_utilization'] = {
            'next_hour': cpu_prediction['1h'],
            'next_day': cpu_prediction['24h'],
            'next_week': cpu_prediction['7d'],
            'confidence': cpu_prediction['confidence']
        }
        
        # Network congestion prediction
        congestion_prediction = self.ml_models['congestion_prediction'].predict(
            metrics['network_utilization_history']
        )
        prediction_results['network_congestion'] = {
            'probability': congestion_prediction['probability'],
            'expected_time': congestion_prediction['expected_time'],
            'severity': congestion_prediction['severity'],
            'affected_segments': congestion_prediction['affected_segments']
        }
        
        # Capacity exhaustion prediction
        capacity_prediction = self.ml_models['capacity_prediction'].predict(
            metrics['resource_utilization_history']
        )
        prediction_results['capacity_exhaustion'] = {
            'ip_addresses': capacity_prediction['ip_exhaustion'],
            'ports': capacity_prediction['port_exhaustion'],
            'bandwidth': capacity_prediction['bandwidth_exhaustion']
        }
        
        return prediction_results
    
    def _generate_optimization_recommendations(self, traffic_analysis, 
                                             bottleneck_analysis, prediction_analysis):
        """Generate intelligent optimization recommendations"""
        
        recommendations = []
        
        # Traffic optimization recommendations
        if traffic_analysis['elephant_flows']:
            recommendations.append({
                'type': 'traffic_engineering',
                'priority': 'high',
                'description': 'Optimize elephant flow handling',
                'actions': [
                    'Implement dedicated queues for large flows',
                    'Configure ECMP for better load distribution',
                    'Consider flow-based load balancing'
                ],
                'expected_impact': 'Reduce network congestion by 20-30%'
            })
        
        # CPU optimization recommendations
        if bottleneck_analysis['cpu_bottlenecks']['severity'] > 0.7:
            recommendations.append({
                'type': 'cpu_optimization',
                'priority': 'high',
                'description': 'Optimize CPU utilization',
                'actions': [
                    'Increase PMD thread allocation',
                    'Enable CPU isolation for critical processes',
                    'Optimize interrupt handling'
                ],
                'expected_impact': 'Improve packet processing performance by 15-25%'
            })
        
        # Predictive scaling recommendations
        if prediction_analysis['capacity_exhaustion']['ip_addresses']['time_to_exhaustion'] < 30:
            recommendations.append({
                'type': 'capacity_scaling',
                'priority': 'critical',
                'description': 'IP address space exhaustion predicted',
                'actions': [
                    'Allocate additional IP subnets',
                    'Implement IP address reclamation',
                    'Consider IPv6 migration'
                ],
                'expected_impact': 'Prevent service disruption'
            })
        
        return recommendations

# Global network orchestration system
class GlobalNetworkOrchestrator:
    """Orchestrate Neutron deployments across multiple regions and clouds"""
    
    def __init__(self):
        self.regions = self._discover_regions()
        self.global_policies = self._load_global_policies()
        self.inter_region_connectivity = self._setup_inter_region_connectivity()
        self.global_dns = self._setup_global_dns()
    
    def _discover_regions(self):
        """Discover and catalog all available regions"""
        
        regions = {
            'us-east-1': {
                'name': 'US East (Virginia)',
                'location': {'lat': 39.0458, 'lon': -76.6413},
                'availability_zones': ['us-east-1a', 'us-east-1b', 'us-east-1c'],
                'neutron_endpoint': 'https://neutron-us-east-1.example.com',
                'capacity': {
                    'max_networks': 10000,
                    'max_subnets': 50000,
                    'max_ports': 500000,
                    'max_routers': 5000,
                    'max_floating_ips': 50000
                },
                'compliance': ['soc2', 'fedramp', 'hipaa'],
                'data_residency': 'us',
                'edge_locations': [
                    {'city': 'New York', 'lat': 40.7128, 'lon': -74.0060},
                    {'city': 'Atlanta', 'lat': 33.7490, 'lon': -84.3880},
                    {'city': 'Miami', 'lat': 25.7617, 'lon': -80.1918}
                ]
            },
            'eu-central-1': {
                'name': 'EU Central (Frankfurt)',
                'location': {'lat': 50.1109, 'lon': 8.6821},
                'availability_zones': ['eu-central-1a', 'eu-central-1b', 'eu-central-1c'],
                'neutron_endpoint': 'https://neutron-eu-central-1.example.com',
                'capacity': {
                    'max_networks': 8000,
                    'max_subnets': 40000,
                    'max_ports': 400000,
                    'max_routers': 4000,
                    'max_floating_ips': 40000
                },
                'compliance': ['gdpr', 'iso27001'],
                'data_residency': 'eu',
                'edge_locations': [
                    {'city': 'London', 'lat': 51.5074, 'lon': -0.1278},
                    {'city': 'Paris', 'lat': 48.8566, 'lon': 2.3522},
                    {'city': 'Amsterdam', 'lat': 52.3676, 'lon': 4.9041}
                ]
            },
            'ap-southeast-1': {
                'name': 'Asia Pacific (Singapore)',
                'location': {'lat': 1.3521, 'lon': 103.8198},
                'availability_zones': ['ap-southeast-1a', 'ap-southeast-1b'],
                'neutron_endpoint': 'https://neutron-ap-southeast-1.example.com',
                'capacity': {
                    'max_networks': 5000,
                    'max_subnets': 25000,
                    'max_ports': 250000,
                    'max_routers': 2500,
                    'max_floating_ips': 25000
                },
                'compliance': ['iso27001'],
                'data_residency': 'apac',
                'edge_locations': [
                    {'city': 'Hong Kong', 'lat': 22.3193, 'lon': 114.1694},
                    {'city': 'Tokyo', 'lat': 35.6762, 'lon': 139.6503},
                    {'city': 'Sydney', 'lat': -33.8688, 'lon': 151.2093}
                ]
            }
        }
        
        return regions
    
    def orchestrate_global_network(self, global_network_spec):
        """Orchestrate network deployment across multiple regions"""
        
        # Create global deployment plan
        deployment_plan = self._create_global_deployment_plan(global_network_spec)
        
        # Validate global consistency
        validation_result = self._validate_global_deployment(deployment_plan)
        if not validation_result['valid']:
            raise GlobalDeploymentError(validation_result['errors'])
        
        # Execute regional deployments
        deployment_results = {}
        for region_name, region_deployment in deployment_plan.items():
            try:
                result = self._execute_regional_deployment(region_name, region_deployment)
                deployment_results[region_name] = result
            except Exception as e:
                # Rollback on failure
                self._rollback_regional_deployments(deployment_results)
                raise GlobalDeploymentError(f"Regional deployment failed: {e}")
        
        # Configure inter-region connectivity
        inter_region_config = self._configure_inter_region_connectivity(
            deployment_results, global_network_spec
        )
        
        # Set up global monitoring
        monitoring_config = self._setup_global_monitoring(deployment_results)
        
        return {
            'deployment_plan': deployment_plan,
            'regional_results': deployment_results,
            'inter_region_connectivity': inter_region_config,
            'monitoring': monitoring_config
        }
    
    def _create_global_deployment_plan(self, global_network_spec):
        """Create comprehensive global deployment plan"""
        
        deployment_plan = {}
        
        # Determine target regions based on requirements
        target_regions = self._select_optimal_regions(global_network_spec)
        
        for region_name in target_regions:
            region_config = self.regions[region_name]
            
            # Create region-specific network plan
            region_plan = {
                'region': region_name,
                'networks': self._plan_regional_networks(global_network_spec, region_config),
                'subnets': self._plan_regional_subnets(global_network_spec, region_config),
                'routers': self._plan_regional_routers(global_network_spec, region_config),
                'security_groups': self._plan_regional_security_groups(global_network_spec, region_config),
                'load_balancers': self._plan_regional_load_balancers(global_network_spec, region_config),
                'vpn_connections': self._plan_regional_vpn_connections(global_network_spec, region_config)
            }
            
            # Apply regional compliance requirements
            region_plan = self._apply_regional_compliance(region_plan, region_config)
            
            deployment_plan[region_name] = region_plan
        
        return deployment_plan
    
    def _configure_inter_region_connectivity(self, deployment_results, global_network_spec):
        """Configure connectivity between regions"""
        
        inter_region_config = {
            'transit_gateways': {},
            'vpn_connections': {},
            'direct_connect': {},
            'cdn_integration': {},
            'global_load_balancing': {}
        }
        
        # Set up transit gateways for each region
        for region_name, deployment_result in deployment_results.items():
            transit_gateway = self._create_transit_gateway(region_name, deployment_result)
            inter_region_config['transit_gateways'][region_name] = transit_gateway
        
        # Create inter-region VPN connections
        region_pairs = self._generate_region_pairs(deployment_results.keys())
        for region_a, region_b in region_pairs:
            vpn_connection = self._create_inter_region_vpn(
                region_a, region_b, 
                inter_region_config['transit_gateways'][region_a],
                inter_region_config['transit_gateways'][region_b]
            )
            
            connection_id = f"{region_a}-{region_b}"
            inter_region_config['vpn_connections'][connection_id] = vpn_connection
        
        # Configure global load balancing
        if global_network_spec.get('global_load_balancing'):
            global_lb_config = self._configure_global_load_balancing(
                deployment_results, global_network_spec['global_load_balancing']
            )
            inter_region_config['global_load_balancing'] = global_lb_config
        
        return inter_region_config

# Edge computing network integration
class EdgeNetworkManager:
    """Manage networking for distributed edge computing deployments"""
    
    def __init__(self):
        self.edge_locations = self._discover_edge_locations()
        self.edge_policies = self._load_edge_policies()
        self.latency_optimizer = self._setup_latency_optimizer()
        self.edge_orchestrator = self._setup_edge_orchestrator()
    
    def create_edge_network_architecture(self, edge_requirements):
        """Create comprehensive edge network architecture"""
        
        # Analyze edge requirements
        edge_analysis = self._analyze_edge_requirements(edge_requirements)
        
        # Design edge network topology
        edge_topology = self._design_edge_topology(edge_analysis)
        
        # Create edge network infrastructure
        edge_infrastructure = self._create_edge_infrastructure(edge_topology)
        
        # Configure edge-to-cloud connectivity
        cloud_connectivity = self._configure_edge_cloud_connectivity(edge_infrastructure)
        
        # Set up edge orchestration
        orchestration_config = self._setup_edge_orchestration(edge_infrastructure)
        
        # Configure performance monitoring
        monitoring_config = self._setup_edge_monitoring(edge_infrastructure)
        
        return {
            'topology': edge_topology,
            'infrastructure': edge_infrastructure,
            'cloud_connectivity': cloud_connectivity,
            'orchestration': orchestration_config,
            'monitoring': monitoring_config
        }
    
    def _design_edge_topology(self, edge_analysis):
        """Design optimal edge network topology"""
        
        topology = {
            'edge_clusters': [],
            'connectivity_mesh': {},
            'service_placement': {},
            'traffic_engineering': {}
        }
        
        # Create edge clusters based on geographic and latency requirements
        for region in edge_analysis['target_regions']:
            cluster = {
                'region': region,
                'edge_nodes': self._select_edge_nodes(region, edge_analysis),
                'connectivity_type': self._determine_connectivity_type(region, edge_analysis),
                'service_requirements': edge_analysis['service_requirements'],
                'latency_targets': edge_analysis['latency_targets'][region]
            }
            
            topology['edge_clusters'].append(cluster)
        
        # Design connectivity mesh between edge clusters
        topology['connectivity_mesh'] = self._design_connectivity_mesh(
            topology['edge_clusters'], edge_analysis
        )
        
        # Plan service placement across edge nodes
        topology['service_placement'] = self._plan_edge_service_placement(
            topology['edge_clusters'], edge_analysis
        )
        
        return topology
    
    def _create_edge_infrastructure(self, edge_topology):
        """Create edge network infrastructure"""
        
        infrastructure = {
            'edge_networks': {},
            'micro_datacenters': {},
            'cdn_nodes': {},
            'iot_gateways': {}
        }
        
        for cluster in edge_topology['edge_clusters']:
            region = cluster['region']
            
            # Create edge networks for the cluster
            edge_networks = self._create_edge_networks(cluster)
            infrastructure['edge_networks'][region] = edge_networks
            
            # Deploy micro datacenters
            micro_dc = self._deploy_micro_datacenter(cluster)
            infrastructure['micro_datacenters'][region] = micro_dc
            
            # Set up CDN nodes
            if cluster['service_requirements'].get('content_delivery'):
                cdn_nodes = self._deploy_cdn_nodes(cluster)
                infrastructure['cdn_nodes'][region] = cdn_nodes
            
            # Configure IoT gateways
            if cluster['service_requirements'].get('iot_support'):
                iot_gateways = self._deploy_iot_gateways(cluster)
                infrastructure['iot_gateways'][region] = iot_gateways
        
        return infrastructure
    
    def _deploy_micro_datacenter(self, cluster):
        """Deploy micro datacenter infrastructure"""
        
        micro_dc_config = {
            'compute_nodes': [],
            'storage_nodes': [],
            'network_infrastructure': {},
            'edge_services': {}
        }
        
        # Deploy edge compute nodes
        for edge_node in cluster['edge_nodes']:
            compute_config = {
                'node_id': edge_node['id'],
                'location': edge_node['location'],
                'capabilities': edge_node['capabilities'],
                'neutron_config': self._create_edge_neutron_config(edge_node),
                'performance_profile': self._select_performance_profile(edge_node)
            }
            
            micro_dc_config['compute_nodes'].append(compute_config)
        
        # Configure edge networking
        network_config = self._configure_edge_networking(cluster)
        micro_dc_config['network_infrastructure'] = network_config
        
        # Deploy edge services
        edge_services = self._deploy_edge_services(cluster)
        micro_dc_config['edge_services'] = edge_services
        
        return micro_dc_config
    
    def _create_edge_neutron_config(self, edge_node):
        """Create Neutron configuration optimized for edge deployment"""
        
        edge_neutron_config = {
            'api_workers': 2,  # Reduced for edge deployment
            'rpc_workers': 1,
            'agent_config': {
                'polling_interval': 1,  # More aggressive for edge
                'minimize_polling': True,
                'enable_distributed_routing': True,
                'tunnel_types': ['vxlan'],  # Simplified for edge
                'bridge_mappings': f"physnet1:br-{edge_node['id']}"
            },
            'ml2_config': {
                'type_drivers': 'vxlan,flat',
                'tenant_network_types': 'vxlan',
                'mechanism_drivers': 'openvswitch',
                'vni_ranges': f"{edge_node['vni_start']}:{edge_node['vni_end']}"
            },
            'ovs_config': {
                'datapath_type': 'system',  # Use kernel datapath for simplicity
                'enable_tunneling': True,
                'local_ip': edge_node['tunnel_ip'],
                'bridge_mappings': f"physnet1:br-{edge_node['id']}"
            },
            'performance_optimization': {
                'enable_local_switching': True,
                'minimize_cloud_communication': True,
                'cache_network_state': True,
                'aggressive_flow_caching': True
            }
        }
        
        return edge_neutron_config