Characterization of latency and jitter in TSN emulation
\'Alex Gracia, Jos\'e Luis Briz, H\'ector Blanco-Alcaine, Juan Segarra, Alitzel G. Torres-Mac\'ias, Antonio Ram\'irez-Trevi\~no

TL;DR
This paper evaluates timestamping methods in TSN emulation to accurately characterize latency and jitter, providing insights for optimizing network performance measurement in software environments.
Contribution
It introduces a methodology for software timestamping in TSN emulation, compares techniques, and offers experimental insights for improving TSN emulation accuracy.
Findings
Four timestamping techniques compared in TSN emulation
Bridge latency and jitter characterized in Mininet environment
TSN scheduling solutions validated with measured parameters
Abstract
This research focuses on timestamping methods for profiling network traffic in software-based environments. Accurate timestamping is crucial for evaluating network performance, particularly in Time-Sensitive Networking (TSN). We explore and compare four timestamping techniques within a TSN emulation context, though its findings extend to other network scenarios. The study leverages the Mininet emulator to model TSN networks, defining hosts, bridges, links, and traffic streams. It characterizes bridge latencies and jitter, solves the TSN scheduling problem based on measured parameters, and evaluates the correctness of a deployed schedule for a use case. Key contributions include a methodology for software-based timestamping, solutions for TSN emulation challenges in Linux and Mininet, and experimental insights for optimizing TSN emulation platforms on various system configurations, with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNetwork Time Synchronization Technologies · Wireless Body Area Networks · Smart Grid Security and Resilience
