OAM Query Mechanism for Protecting Connections in Shared Mesh Networks
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Solution Overview
Problem
In Shared Mesh Protection networks, there is no standard method for detecting the liveliness and synchronizing the control plane and data plane on protecting connections, leading to potential misdirection of user traffic and difficulties in detecting connection failures, commonly known as the 'black hole' problem.
Innovation Solution
The system introduces a method to query and diagnose protecting connections using LSP-ping messages over in-band control channels for end-to-end or hop-by-hop probing, synchronizing the control plane and data plane on switch nodes forming the protecting connections, and employing query messages to determine resource availability and diagnose issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If protecting connections are established without OAM mechanisms, then device complexity is reduced, but reliability deteriorates due to inability to detect connection failures and synchronize control plane with data plane
Solution Approach 1:
The patent applies universality by making the OAM query message mechanism multi-functional: it can detect connection failures, verify resource availability, synchronize control plane with data plane, and diagnose protecting connection status. A single message type serves multiple OAM functions, reducing the need for separate specialized mechanisms while improving reliability across multiple dimensions.
Solution Approach 2:
The patent implements feedback through the OAM query message round-trip mechanism. The headend node sends query messages along the protecting connection and receives reply messages containing status information from intermediate nodes and tailend node. This feedback loop enables continuous monitoring of connection health, resource availability, and plane synchronization, allowing the system to detect and respond to failures dynamically.
2Productivity
If protecting connections share network resources, then productivity is improved through efficient resource utilization, but measurement precision deteriorates due to difficulty in determining resource availability and detecting connection issues
Solution Approach 1:
The patent applies preliminary action by performing OAM query messages periodically or on-demand before actual user traffic is affected. The headend node proactively checks resource availability and connection status along the protecting path, identifying potential issues before they impact service. This preventive approach maintains high resource utilization while ensuring accurate detection of resource availability changes.
Solution Approach 2:
The patent uses intermediary OAM query and reply messages as mediators between the headend node and the protecting connection resources. These messages traverse the shared network resources, interact with intermediate nodes and tailend node, and return detailed status information. The intermediary mechanism enables precise measurement of resource availability without disrupting the shared resource utilization for actual traffic.
3Reliability
If control plane and data plane are not synchronized on protecting connections, then ease of operation is improved through simpler setup, but reliability deteriorates due to potential misdirection of user traffic (black hole problem)
Solution Approach 1:
The patent implements feedback through OAM query message exchange that verifies control plane configuration matches data plane state. The headend node sends queries and receives replies confirming resource allocation, path validity, and node readiness. This feedback mechanism automatically synchronizes control and data planes, ensuring accurate traffic direction while maintaining ease of operation through automated verification rather than manual configuration.
Solution Approach 2:
The patent applies self-service by enabling the protecting connection to automatically verify and synchronize its own state through OAM query messages. The headend node autonomously checks control plane configurations against actual data plane status by sending queries and processing replies. This self-verification mechanism ensures traffic direction accuracy without requiring external intervention or complex manual synchronization procedures.
Data Source
AI summary
A method for detecting the liveliness and synchronizing the control-plane and data-plane on protecting connections in a shared mesh network environment through methods for probing the protecting connection conditions by sending in-band messages; and synchronization of control plane and data plane by using LSP-ping messages on the protecting connections.