TY - GEN
T1 - SmartNIC-based Load Management and Network Health Monitoring for Time Sensitive Applications
AU - Holzinger, Kilian
AU - Biersack, Franz
AU - Stubbe, Henning
AU - Marino, Angela Gonzalez
AU - Kane, Abdoul
AU - Fons, Francesc
AU - Haigang, Zhang
AU - Wild, Thomas
AU - Herkersdorf, Andreas
AU - Carle, Georg
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Time sensitive network applications, for example in Intra-Vehicular Networks, aim to give predictable end-to-end latency guarantees. As a consequence, processing resources of involved host systems remain partially unused, because they are reserved for rare worst cases. This circumstance provides the opportunity to reduce dimensioning overheads by managing the load on the nodes flexibly within the network. In our proposed approach, a SmartNIC involving an FPGA-based load balancer achieves dynamic routing of flows whilst preserving end-to-end latency guarantees. A flow-oriented online network measurement component continuously supervises network traffic with regards to compliance to flow specifications and constraints such as bounded one-way delay, absence of packet loss, and jitter. We use the supervisor to enhance forwarding decisions on the data plane. Initial evaluation yields a saving potential of around 30 %. We showcase quick dynamic reconfiguration of the FPGA when triggered by real-time measurement of the one-way delay using realistic automotive network traffic.
AB - Time sensitive network applications, for example in Intra-Vehicular Networks, aim to give predictable end-to-end latency guarantees. As a consequence, processing resources of involved host systems remain partially unused, because they are reserved for rare worst cases. This circumstance provides the opportunity to reduce dimensioning overheads by managing the load on the nodes flexibly within the network. In our proposed approach, a SmartNIC involving an FPGA-based load balancer achieves dynamic routing of flows whilst preserving end-to-end latency guarantees. A flow-oriented online network measurement component continuously supervises network traffic with regards to compliance to flow specifications and constraints such as bounded one-way delay, absence of packet loss, and jitter. We use the supervisor to enhance forwarding decisions on the data plane. Initial evaluation yields a saving potential of around 30 %. We showcase quick dynamic reconfiguration of the FPGA when triggered by real-time measurement of the one-way delay using realistic automotive network traffic.
KW - SmartNIC
KW - automotive
KW - load balancing
KW - monitoring
KW - networks
KW - time sensitive networks
KW - vehicular networks
UR - http://www.scopus.com/inward/record.url?scp=85133186805&partnerID=8YFLogxK
U2 - 10.1109/NOMS54207.2022.9789863
DO - 10.1109/NOMS54207.2022.9789863
M3 - Conference contribution
AN - SCOPUS:85133186805
T3 - Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022: Network and Service Management in the Era of Cloudification, Softwarization and Artificial Intelligence, NOMS 2022
BT - Proceedings of the IEEE/IFIP Network Operations and Management Symposium 2022
A2 - Varga, Pal
A2 - Granville, Lisandro Zambenedetti
A2 - Galis, Alex
A2 - Godor, Istvan
A2 - Limam, Noura
A2 - Chemouil, Prosper
A2 - Francois, Jerome
A2 - Pahl, Marc-Oliver
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022
Y2 - 25 April 2022 through 29 April 2022
ER -