Distributed ethernet switches sdn architecture
posted on 31 Oct 2025 under category network
| Date | Language | Author | Description |
|---|---|---|---|
| 31.10.2025 | English | Claus Prüfer (Chief Prüfer) | Distributed Ethernet Switches, Stackable Switches, and their role in SDN and PaaS infrastructure |
The evolution of network infrastructure has reached a critical inflection point. As we transition from traditional networking to Software Defined Networking (SDN) and Platform as a Service (PaaS) architectures, the underlying physical and virtual infrastructure must adapt to meet new demands for scalability, reliability, and flexibility.



This article explores Distributed Ethernet Switches and Stackable Switches — two complementary technologies that will play increasingly important roles in future network architectures. We’ll examine both hardware-based stackable solutions and software-defined distributed switching using LACP (Link Aggregation Control Protocol) across multiple physical or virtual switches.
Before diving into technical details, let’s clarify key concepts:
Stackable switches are physical network switches that can be interconnected to operate as a single logical unit. Multiple switches are connected via dedicated stacking ports (typically high-speed fiber or copper connections) to form a Virtual Chassis or Stack.
Key Characteristics:
Examples:
Distributed switches represent a more abstract concept where switching functionality is distributed across multiple physical or virtual switches, coordinated through software control. This includes:
Key Characteristics:
In traditional networking, each switch operates independently with:
Stackable switches overcome these limitations by creating a unified switching fabric:
+------------------+ +------------------+ +------------------+
| Switch #1 |<------->| Switch #2 |<------->| Switch #3 |
| (Master) | Stack | (Member) | Stack | (Member) |
| Priority: 0 | Ports | Priority: 1 | Ports | Priority: 2 |
+------------------+ +------------------+ +------------------+
| | |
| Single Management IP | |
| Unified Configuration | |
+----------------------------+----------------------------+
1. Simplified Management
Single IP address, single configuration interface, and unified firmware management across all stack members.
2. Enhanced Redundancy
3. Improved Performance
4. Cost Efficiency
5. Flexible Port Density
Link Aggregation Control Protocol (IEEE 802.3ad / 802.1AX) enables multiple physical links to be combined into a single logical link, providing:
The evolution of LACP allows link aggregation across multiple physical switches, creating a truly distributed switching architecture:
Server / Host
+------------------+
| LACP Bond |
| (Active Mode) |
+------------------+
| |
| eth0 | eth1
| |
+----------+ +----------+
| |
+----v-----+ +----v-----+
| Switch A |<----------------------->| Switch B |
| (Passive)| Peer Link / MLAG | (Passive)|
+----------+ Interconnect +----------+
Configuration Example - Distributed LACP:
Physical switches coordinate to present a single logical LACP endpoint to the connected server, even though the physical ports are on different switches.
As demonstrated in the Allied Telesis configuration article, combining VCStack (physical stacking) with LACP across stack members creates a powerful distributed architecture:
Server with dual 10GbE NICs
|
+--- eth0 connected to port1.0.1 (Switch #1)
|
+--- eth1 connected to port2.0.1 (Switch #2)
Both ports in same LACP channel-group (po1)
VLANs 10, 20 trunked over LACP bond
Benefits:
SDN separates the control plane (decision making) from the data plane (packet forwarding), enabling:
1. Simplified Topology
SDN controllers benefit from reduced topology complexity. A stack of 4 switches appears as a single node rather than 4 interconnected nodes.
2. Enhanced Reliability
SDN relies on consistent network state. Distributed switches with hardware-level redundancy provide:
3. Scalable Data Plane
4. OpenFlow and Protocol Integration
Modern stackable switches support SDN protocols:
Integration Example:
SDN Controller (OpenDaylight / ONOS)
|
| OpenFlow / NETCONF
|
+-------v--------+
| Switch Stack | <- Single logical device
| (4x members) | <- 192 ports aggregate
+----------------+
|
Physical/Virtual Servers
Beyond physical stacking, software-defined distributed switches represent the future:
Virtual Distributed Switch (VDS) in VMware:
Open vSwitch (OVS) with SDN Controller:
Example: Kubernetes with Distributed CNI:
# Calico, Cilium, or Flannel providing distributed switching
apiVersion: v1
kind: Pod
metadata:
name: app-pod
spec:
containers:
- name: app
image: myapp:latest
# CNI provides distributed L2/L3 switching
# LACP-like redundancy via pod networking
Modern PaaS platforms like Kubernetes, Cloud Foundry, OpenShift, and Heroku demand network infrastructure that provides:
1. Network Redundancy Without Complexity
Kubernetes Cluster
├── Master Nodes (HA)
│ └── Connected via LACP to distributed switch fabric
├── Worker Nodes (Scalable)
│ └── Connected via LACP to distributed switch fabric
└── Storage Nodes
└── Connected via LACP to distributed switch fabric
Each component connects to multiple switches in the stack/fabric, ensuring:
2. Network Virtualization at Scale
Distributed switches integrated with SDN enable:
3. Container Networking
PaaS platforms heavily rely on container orchestration:
Container Network Model:
+----------------+
| Container |
+----------------+
|
[veth pair]
|
+----------------+
| Linux Bridge | <- Software switch on host
| or OVS |
+----------------+
|
[LACP Bond]
|
+----------------+
| Physical Stack | <- Distributed switch fabric
+----------------+
Benefits:
4. API-Driven Network Provisioning
PaaS platforms require programmatic control:
# pseudocode: provision network for new application
def deploy_app(app_name, replicas):
# sdn controller provisions vlan/vni
vlan_id = sdn.create_network(app_name)
# configure distributed switch via api
switch_stack.create_vlan(vlan_id)
switch_stack.assign_ports(server_ports, vlan_id)
# deploy application containers
k8s.deploy(app_name, replicas, network=vlan_id)
5. Performance and Latency
PaaS workloads require predictable performance:
Distributed switches with LACP provide:
Enterprise deploying hybrid PaaS spanning on-premises datacenter and public cloud:
Requirements:
On-Premises Infrastructure:
Internet/Cloud
|
[Edge Routers with BGP]
|
+---------------------------+
| Distributed Switch Stack | <- VCStack with 4x switches
| - 192x 10GbE ports | LACP bonds to all servers
| - 8x 100GbE uplinks | OpenFlow enabled
+---------------------------+
|
+---------------------------+
| Kubernetes Worker Nodes |
| - Calico CNI (VXLAN) |
| - Dual 10GbE LACP bonds |
+---------------------------+
Benefits of Distributed Switch Architecture:
Switch Configuration (Allied Telesis example):
# enable stacking
stack enable
stack 1 priority 0
stack 2 priority 1
stack 3 priority 2
stack 4 priority 3
# configure LACP system parameters
lacp global-passive-mode enable
lacp system-priority 20000
# create channel groups on ports across multiple stack members
interface port1.0.1-1.0.10
channel-group 1 mode passive
interface port2.0.1-2.0.10
channel-group 1 mode passive
interface port3.0.1-3.0.10
channel-group 1 mode passive
interface port4.0.1-4.0.10
channel-group 1 mode passive
# configure VLANs on aggregated interface
interface po1
switchport mode trunk
switchport trunk allowed vlan add 10,20,30,100-200
Server Configuration (Linux with netplan):
network:
version: 2
renderer: networkd
bonds:
bond0:
interfaces:
- enp1s0f0 # connected to stack member 1
- enp1s0f1 # connected to stack member 2
parameters:
mode: 802.3ad
lacp-rate: fast
mii-monitor-interval: 100
transmit-hash-policy: layer3+4
vlans:
bond0.100:
id: 100
link: bond0
addresses: [10.100.1.5/24]
The next evolution of SDN, where administrators specify intent rather than configuration:
Intent: "Ensure application X has 10Gbps guaranteed bandwidth"
SDN/IBN System:
- Configures QoS on distributed switches
- Provisions LACP bonds with sufficient capacity
- Monitors and auto-remediates
- Adjusts as network conditions change
Distributed switches with rich telemetry enable IBN systems to:
Separation of hardware, OS, and applications:
Benefits for Distributed Switching:
Machine learning applied to distributed switch fabrics:
As interface speeds increase to 400G and 800G:
P4 (Programming Protocol-independent Packet Processors):
// Example: Custom LACP hash function for AI workloads
action lacp_hash_ai_optimized() {
hash(meta.lacp_port,
HashAlgorithm.crc32,
(bit<16>)0,
{hdr.ipv4.src_addr,
hdr.ipv4.dst_addr,
hdr.tcp.src_port,
hdr.tcp.dst_port,
meta.flow_label},
(bit<32>)MAX_PORTS);
}
Important Note on LACP Evolution
Classical LACP (IEEE 802.1AX / IEEE 802.3ad) implementations distribute traffic only on a per-flow basis, meaning all packets from a single IP stream (same source/destination IP and port combination) are always forwarded through the same physical port in the LACP bundle. While this ensures packet ordering, it limits bandwidth utilization for individual high-throughput connections.
Future LACP extensions should implement per-packet load balancing across multiple defined LACP ports, allowing a single IP stream to fully utilize the aggregate bandwidth of the bond. This requires:
- Hardware support for packet reordering at the receiver
- Flow-aware scheduling to minimize out-of-order delivery
- Dynamic load sensing across bundle members
- Protocol extensions to negotiate per-packet mode capabilities
Such enhancements would be particularly beneficial for:
- Large file transfers and bulk data movement
- High-bandwidth storage protocols (iSCSI, NFS over RDMA)
- AI/ML training workloads with massive data transfers
- Video streaming and content delivery at scale
- Sudden physical port loss (IP session staying stable)
Programmable data planes (P4) provide the flexibility to prototype and implement these advanced LACP distribution algorithms in hardware.
CNI Plugins leveraging distributed switches:
1. Calico with BGP:
apiVersion: projectcalico.org/v3
kind: BGPConfiguration
metadata:
name: default
spec:
nodeToNodeMeshEnabled: false
asNumber: 64512
---
apiVersion: projectcalico.org/v3
kind: BGPPeer
metadata:
name: distributed-switch-stack
spec:
peerIP: 10.0.0.1 # Switch stack anycast IP
asNumber: 65001
Benefits:
2. Cilium with XDP/eBPF:
apiVersion: cilium.io/v2
kind: CiliumNetworkPolicy
metadata:
name: app-policy
spec:
endpointSelector:
matchLabels:
app: backend
egress:
- toPorts:
- ports:
- port: "443"
protocol: TCP
# traffic shaped by switch QoS via DSCP
toCIDR:
- 10.100.0.0/16
3. SR-IOV for Performance-Critical Pods:
apiVersion: v1
kind: Pod
metadata:
name: high-performance-app
spec:
containers:
- name: app
image: myapp:latest
resources:
requests:
intel.com/sriov_net: '1'
limits:
intel.com/sriov_net: '1'
SR-IOV + LACP on distributed switch:
Istio/Linkerd with distributed switching:
Application Layer (Service Mesh)
|
[Envoy Proxies]
|
Container Network (CNI)
|
[LACP Bonds per Node]
|
Distributed Switch Stack
Traffic flow:
1. Control Plane Security
2. Data Plane Security
3. SDN Controller Security
+------------------+
| SDN Controller | <- Certificate-based auth
+------------------+ TLS 1.3 encrypted
|
[Secure Channel]
|
+------------------+
| Switch Stack | <- OpenFlow over TLS
+------------------+
4. Zero Trust Networking
Distributed switches enable micro-segmentation:
# example: Kubernetes NetworkPolicy mapped to switch ACL
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: deny-all-ingress
spec:
podSelector: {}
policyTypes:
- Ingress
SDN controller translates to switch configuration:
# distributed switch ACL
ip access-list extended k8s-deny-all-ingress
deny ip any any
interface po1.100
ip access-group k8s-deny-all-ingress in
SNMP/Streaming Telemetry from Distributed Stack:
# Example: gNMI subscription for LACP state
subscriptions:
- name: lacp-state
paths:
- /interfaces/interface/aggregation/state
- /lacp/interfaces/interface/state
mode: STREAM
sample_interval: 10s
Key Metrics to Monitor:
Integration with Prometheus:
scrape_configs:
- job_name: 'distributed-switch'
static_configs:
- targets: ['switch-stack.example.com:9116']
metrics_path: /snmp
params:
module: [if_mib]
Traditional Architecture (4 independent switches):
Costs:
- 4x management IPs/licenses
- 4x separate configurations
- Complex STP topology
- Manual failover procedures
- Higher operational overhead
Benefits:
- Independence (failure isolation)
- Vendor diversity possible
- Simpler initial setup
Distributed/Stackable Architecture:
Costs:
- Initial stacking hardware/licenses
- Vendor lock-in (for physical stacking)
- Learning curve for advanced features
Benefits:
- Single management point
- Automatic failover
- LACP across stack
- Reduced operational costs (50-70%)
- Simplified troubleshooting
- Better resource utilization
Scenario: 100-node Kubernetes cluster
| Metric | Traditional | Distributed | Savings |
|---|---|---|---|
| Switch management IPs | 8 | 2 | 75% reduction |
| Configuration time (monthly) | 40 hours | 10 hours | 75% reduction |
| Downtime (annual) | 2 hours | 0.2 hours | 90% reduction |
| Cost of downtime (@$50k/hour) | $100k | $10k | $90k saved |
| Operational efficiency | Baseline | +60% | Significant |
Total Annual Savings: ~$100k for mid-sized deployment
1. Plan for Redundancy at Every Layer
Application Layer: Multiple replicas (Kubernetes)
Service Layer: Load balancers in HA
Network Layer: LACP bonds across distributed switches
Physical Layer: Redundant power, dual ToR switches
2. Standardize on Modern Protocols
3. Design for Automation
# infrastructure as code for network
class DistributedSwitchStack:
def __init__(self, stack_members):
self.members = stack_members
def configure_lacp(self, server, ports):
"""Configure LACP across stack members"""
channel_group = self.get_next_channel_group()
for port in ports:
self.configure_port(port, channel_group)
def apply_vlan_policy(self, vlan_id, ports):
"""Apply VLAN to distributed port-channel"""
# implementation
pass
4. Implement Comprehensive Monitoring
5. Document Thoroughly
Documentation Requirements:
- Physical topology diagrams
- Logical VLAN/LACP mappings
- Runbooks for common failures
- Recovery procedures
- Configuration backups
Phase 1: Assessment
Phase 2: Pilot
Phase 3: Rollout
Phase 4: Optimization
Distributed Ethernet Switches and Stackable Switches represent a fundamental building block for modern network infrastructure, particularly in the context of Software Defined Networking (SDN) and Platform as a Service (PaaS) deployments.
1. Convergence of Physical and Virtual
The future network seamlessly blends physical stackable switches with software-defined distributed switching, creating a unified, programmable infrastructure.
2. Essential for PaaS Reliability
Modern PaaS platforms require the high availability and scalability that distributed switches provide. The combination of:
…creates a resilient foundation capable of supporting mission-critical applications.
3. SDN as the Control Plane
Distributed switches excel when integrated with SDN controllers:
4. Operational Efficiency
The transition from managing individual switches to managing switch fabrics:
5. Future-Proof Architecture
Investment in distributed switching architecture positions organizations for:
As network speeds increase, applications become more distributed, and infrastructure complexity grows, the ability to manage switching fabrics as unified, programmable entities becomes not just advantageous but essential.
Organizations investing in distributed/stackable switch architectures today are building the foundation for tomorrow’s SDN and PaaS deployments. The combination of hardware redundancy, software-defined control, and protocol-based automation creates a powerful platform for digital transformation.
The networking industry continues to evolve rapidly. Distributed Ethernet Switches and Stackable Switches, particularly when combined with LACP and SDN, provide the flexibility, reliability, and performance required for modern infrastructure.
Whether deploying on-premises Kubernetes clusters, hybrid cloud environments, or next-generation PaaS platforms, these technologies will play an increasingly critical role in ensuring network infrastructure can meet the demands of tomorrow’s applications.
Mission accomplished. The future of networking is distributed, software-defined, and ready for the challenges ahead.
Standards and Protocols:
Technologies:
Best Practices: