TY - GEN
T1 - Low Control Latency SD-WANs for Metaverse
AU - Qi, Li
AU - Dou, Songshi
AU - Guo, Zehua
AU - Li, Changlin
AU - Li, Yang
AU - Zhu, Tengteng
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Metaverse is a shared virtual environment to provide users with an immersive experience and the same feeling as reality. In Software-Defined Wide Area Networks (SD-WANs), the controller dynamically routes flows from metaverse applications to maintain good performance by sending control messages to underlying switches. Thus, the control latency between controllers and switches for rerouting flows is one critical factor for metaverse's performance. However, existing works may introduce high control latency between switches and controllers since they do not consider the dynamic state of each switch in the real world situation. In this paper, we propose to optimize the control latency in SD-WANs by solving a critical programmability-aware problem. Inspired by critical flows, which have a critical impact on network performance, our proposed solution considers the programmability of critical flows at switches to decide the placement of controllers and mapping between switches and controllers. Simulation results show that our work can reduce the control latency by up to 27.5% compared with the baseline algorithms.
AB - Metaverse is a shared virtual environment to provide users with an immersive experience and the same feeling as reality. In Software-Defined Wide Area Networks (SD-WANs), the controller dynamically routes flows from metaverse applications to maintain good performance by sending control messages to underlying switches. Thus, the control latency between controllers and switches for rerouting flows is one critical factor for metaverse's performance. However, existing works may introduce high control latency between switches and controllers since they do not consider the dynamic state of each switch in the real world situation. In this paper, we propose to optimize the control latency in SD-WANs by solving a critical programmability-aware problem. Inspired by critical flows, which have a critical impact on network performance, our proposed solution considers the programmability of critical flows at switches to decide the placement of controllers and mapping between switches and controllers. Simulation results show that our work can reduce the control latency by up to 27.5% compared with the baseline algorithms.
KW - critical programmability
KW - metaverse
KW - software-defined networking
KW - wide area networks
UR - http://www.scopus.com/inward/record.url?scp=85143829557&partnerID=8YFLogxK
U2 - 10.1109/ICDCSW56584.2022.00057
DO - 10.1109/ICDCSW56584.2022.00057
M3 - Conference contribution
AN - SCOPUS:85143829557
T3 - Proceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops, ICDCSW 2022
SP - 266
EP - 271
BT - Proceedings - 2022 IEEE 42nd International Conference on Distributed Computing Systems Workshops, ICDCSW 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 42nd IEEE International Conference on Distributed Computing Systems Workshops, ICDCSW 2022
Y2 - 10 July 2022 through 13 July 2022
ER -