arXiv · 1901.04957
Improved Credit Bounds for the Credit-Based Shaper in Time-Sensitive Networking
Abstract
In Time-Sensitive Networking (TSN), it is important to formally prove per flow latency and backlog bounds. To this end, recent works apply network calculus and obtain latency bounds from service curves. The latency component of such service curves is directly derived from upper bounds on the values of the credit counters used by the Credit-Based Shaper (CBS), an essential building-block of TSN. In this paper, we derive and formally prove credit upper bounds for CBS, which improve on existing bounds.
Explore related subjects
Keep this discovery
Ehsan Mohammadpour, Eleni Stai, Jean-Yves Le Boudec. 2019-01-15. Improved Credit Bounds for the Credit-Based Shaper in Time-Sensitive Networking. https://doi.org/10.1109/lnet.2019.2925176
Cite the original work for its findings. Save a collection to share your selection of sources.