Network Plane
Network Plane refers to the functional layers of a network architecture, each responsible for specific tasks in the operation and management of a network. These planes are essential to understanding and designing modern networks, particularly in the context of Software-Defined Networking (SDN) and traditional networking models.
Overview[편집 | 원본 편집]
A network plane is a conceptual division that separates the functions of networking into distinct areas, enabling modularity and manageability. The three primary planes in a network are:
- Control Plane: Responsible for decision-making and routing.
- Data Plane: Handles packet forwarding and actual data transmission.
- Management Plane: Oversees network monitoring, configuration, and management tasks.
In some contexts, the network planes are simplified into just two categories:
- Control and Management Plane: Combines decision-making, monitoring, and configuration.
- Data Plane: Focuses solely on packet forwarding and traffic handling.
Types of Network Planes[편집 | 원본 편집]
Data Plane[편집 | 원본 편집]
- Also known as the Forwarding Plane.
- Responsible for the actual movement of packets through the network.
- Functions include:
- Packet forwarding.
- Applying Access Control Lists (ACLs).
- Quality of Service (QoS) enforcement.
- Operates at high speeds and is implemented in hardware or firmware for efficiency.
Control Plane[편집 | 원본 편집]
- Responsible for network decision-making, such as routing and traffic engineering.
- Functions include:
- Building and maintaining routing tables.
- Establishing paths for packet forwarding.
- Communicates with data plane to install forwarding rules.
- Implemented in software or hardware and often centralized in Software-Defined Networking (SDN) environments.
Management Plane[편집 | 원본 편집]
- Focuses on network configuration, monitoring, and administration.
- Functions include:
- Collecting network statistics.
- Managing devices and troubleshooting.
- Implementing policies and updates.
- Interfaces with the control plane to enforce administrative rules.
Two-Plane Model[편집 | 원본 편집]
In simplified architectures, particularly in resource-constrained or specific SDN deployments, the three-plane model may be reduced to two planes:
- Control and Management Plane:
- Combines the control and management functions into a single layer.
- Decision-making, routing, monitoring, and configuration tasks are integrated.
- Simplifies the design but may increase the complexity within this combined plane.
- Data Plane:
- Retains its core role of packet forwarding and traffic handling.
- Focuses on efficiency and performance without additional decision-making tasks.
This two-plane model is often used in systems where strict separation of management and control is not necessary, such as small-scale networks or certain IoT deployments.
Relationship Between Planes[편집 | 원본 편집]
In traditional networking, all planes are typically integrated within each network device. In Software-Defined Networking (SDN), the control plane is separated and centralized in an SDN controller, while the data plane remains on the devices. When using the two-plane model, the SDN controller may also integrate management functions into the control layer.
Applications[편집 | 원본 편집]
- Software-Defined Networking (SDN): Separates the control and data planes to enable dynamic and programmable networks.
- Traffic Engineering: Uses the control plane to optimize network paths based on policies.
- Network Monitoring and Troubleshooting: Relies on the management plane for operational insights.
Advantages[편집 | 원본 편집]
- Clear separation of tasks simplifies network design and troubleshooting.
- Enables scalability and flexibility in network operations.
- Facilitates the implementation of advanced features like network virtualization and dynamic traffic management.
Limitations[편집 | 원본 편집]
- Separating planes, especially in SDN, introduces latency between the control and data planes.
- Centralized control planes can create a single point of failure.
- Combining the control and management planes in the two-plane model can increase internal complexity.
