A groundbreaking framework that reduces probe traffic by up to 91.9% while maintaining comprehensive network coverage for SRv6 tunnel performance analysis.
Understanding SRMesh Innovation
Segment Routing over IPv6 (SRv6) has attracted significant attention from network operators. Diagnosing performance bottlenecks for SRv6 tunnels is critical to maintaining network quality. However, SRv6 introduces priority policies, special forms of multipath routing, and SR-based network slicing, all of which make existing methods difficult to apply.
In this paper, we present SRMesh, a framework for diagnosing latency bottleneck links specifically tailored for SRv6 tunnel performance analysis. Our approach features three key innovations:
Deterministically control routing paths and ensure probe packets emulate real production traffic.
Resolve routing ambiguities caused by SR through intelligent latency analysis.
Incrementally reuse probe results to reduce redundant measurements.
We implement a prototype of SRMesh and conduct extensive evaluations on real network topologies. The results demonstrate that SRMesh achieves high diagnostic accuracy with up to a 91.9% reduction in probe overhead, proving its practicality and scalability in large-scale SRv6 environments.
Powerful Capabilities for Network Monitoring and Management
Monitor the link status and latency of all network slices in real-time, providing comprehensive visibility into network performance.
Intelligent alerting system that notifies administrators of network anomalies and performance issues before they impact users.
Streamlined deployment process that allows you to set up and configure SRMesh with a single click, reducing setup time significantly.
Advanced topology visualization supporting both geographical and network element level displays for comprehensive network topology management.
Modular Design for Maximum Flexibility
User Interface
Task Coordination
Data Collection
Data Processing
SRMesh employs a distributed architecture that ensures scalability and fault tolerance. The system consists of multiple components working together to provide comprehensive network analysis capabilities.