Please note: This PhD seminar will take place in DC 1304.
Niloy Saha, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Raouf Boutaba
Next generation networks increasingly rely on network slices — logical networks tailored to specific application requirements, each with distinct Service-Level Agreements (SLAs). Ensuring compliance with these SLAs requires continuous, real-time monitoring of end-to-end performance metrics for each slice, within a limited telemetry budget. However, existing monitoring solutions based on sketches or probabilistic sampling lack end-to-end visibility and treat all traffic uniformly. This leads to inaccurate monitoring of critical slices in order to stay within budget. We present SliceScope, a slice-aware telemetry system that dynamically allocates monitoring resources across a diverse set of slices, based on SLA criticality and evolving network conditions.
SliceScope combines: (1) a data-plane primitive that enables per-packet end-to-end visibility for each slice with tunable accuracy-overhead trade-off, and (2) a control strategy that adjusts this trade-off per-slice to allocate limited telemetry budget where it matters most. Our evaluation results, conducted on a testbed with programmable switches and in large-scale simulations with a mixture of different slice types, demonstrate that SliceScope provides real-time, fine-grained monitoring of per-slice metrics, and tracks critical slices up to 4× more accurately compared to static or SLA-agnostic baselines.