TY - GEN
T1 - Improving MPTCP Performance by Detouring Network Congestion using Software-Defined Networks
AU - Oh, Bong Hwan
AU - Li, Yikun
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/12/4
Y1 - 2024/12/4
N2 - Multipath TCP (MPTCP) is a protocol that operates at the transport layer and is designed to facilitate multipath transmission, which can significantly improve network performance and more efficiently utilize network resources. However, the original MPTCP has been known to suffer from throughput degradation if one of the subflows experiences congestion, resulting in underutilization of network capacity when compared to a single TCP. In this research, we propose a novel approach to detour a congestion situation for MPTCP subflows using Software-Defined Networking (SDN), which can help to achieve more stable MPTCP performance. Our experimental results demonstrate that our proposed scheme helps minimize the impact of network congestion and enables MPTCP to perform efficient packet transmission.
AB - Multipath TCP (MPTCP) is a protocol that operates at the transport layer and is designed to facilitate multipath transmission, which can significantly improve network performance and more efficiently utilize network resources. However, the original MPTCP has been known to suffer from throughput degradation if one of the subflows experiences congestion, resulting in underutilization of network capacity when compared to a single TCP. In this research, we propose a novel approach to detour a congestion situation for MPTCP subflows using Software-Defined Networking (SDN), which can help to achieve more stable MPTCP performance. Our experimental results demonstrate that our proposed scheme helps minimize the impact of network congestion and enables MPTCP to perform efficient packet transmission.
KW - Multipath TCP
KW - Network Traffic Engineering
KW - Software-Defined Networks
UR - http://www.scopus.com/inward/record.url?scp=105001597366&partnerID=8YFLogxK
U2 - 10.1145/3700523.3700551
DO - 10.1145/3700523.3700551
M3 - Conference Proceeding
AN - SCOPUS:105001597366
T3 - ACM International Conference Proceeding Series
SP - 150
EP - 153
BT - AI2A 2024, Conference Proceedings - 2024 4th International Conference on Artificial Intelligence, Automation and Algorithms
PB - Association for Computing Machinery
T2 - 4th International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2024
Y2 - 27 September 2024 through 29 September 2024
ER -