F Geyer, S Bondorf - IEEE INFOCOM 2019-IEEE Conference …, 2019 - ieeexplore.ieee.org
Network calculus computes end-to-end delay bounds for individual data flows in networks of aggregate schedulers. It searches for the best model bounding resource contention between …
Network Functions Virtualization facilitates the automation of the scaling of softwarized network services (SNSs). However, the realization of such a scenario requires a way to …
B Zhou, I Howenstine, S Limprapaipong… - IEEE Access, 2020 - ieeexplore.ieee.org
Network Calculus is an established analytical framework which can provide deterministic estimates of latency and buffer requirements for feed-forward packet-switched …
J Zhang, L Chen, T Wang… - 2019 24th IEEE …, 2019 - ieeexplore.ieee.org
Time-Sensitive Networking (TSN) Ethernet is becoming a primary industrial networking technology, since it provides bounded latency capability with broad reaching ecosystem …
A Bouillard - Performance Evaluation, 2022 - Elsevier
Computing accurate deterministic performance bounds is a strong need for communication technologies having stringent requirements on latency and reliability. Within new scheduling …
A Scheffler, S Bondorf - … of Systems: 18th International Conference, QEST …, 2021 - Springer
Networks for safety-critical operation must guarantee deterministic bounds on the end-to- end delay of data transmission despite the usually many data flows that all share the …
Network calculus offers the means to compute worst-case traversal times based on interpreting a system as a queueing network. A major strength of network calculus is its strict …
M Boyer, A Graillat, BD De Dinechin, J Migge - Performance Evaluation, 2020 - Elsevier
The Kalray MPPA2-256 processor integrates 256 processing cores and 32 management cores on a chip. These cores are grouped into clusters and clusters are connected by a high …
F Geyer, S Bondorf - IEEE Transactions on Network Science …, 2020 - ieeexplore.ieee.org
Network Calculus (NC) computes end-to-end delay bounds for individual data flows in networks of aggregate schedulers. It searches for the best model bounding resource …