MPTCP-meLearning: A Multi-Expert Learning-Based MPTCP Extension to Enhance Multipathing Robustness against Network Attacks
With multiple network interfaces are being widely equipped in modern mobile devices, the Multipath TCP (MPTCP) is increasingly becoming the preferred transport technique since it can uses multiple network interfaces simultaneously to spread the data across multiple network paths for throughput impro...
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| Published in | IEICE Transactions on Information and Systems Vol. E104.D; no. 11; pp. 1795 - 1804 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Tokyo
The Institute of Electronics, Information and Communication Engineers
01.11.2021
Japan Science and Technology Agency |
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| Abstract | With multiple network interfaces are being widely equipped in modern mobile devices, the Multipath TCP (MPTCP) is increasingly becoming the preferred transport technique since it can uses multiple network interfaces simultaneously to spread the data across multiple network paths for throughput improvement. However, the MPTCP performance can be seriously affected by the use of a poor-performing path in multipath transmission, especially in the presence of network attacks, in which an MPTCP path would abrupt and frequent become underperforming caused by attacks. In this paper, we propose a multi-expert Learning-based MPTCP variant, called MPTCP-meLearning, to enhance MPTCP performance robustness against network attacks. MPTCP-meLearning introduces a new kind of predictor to possibly achieve better quality prediction accuracy for each of multiple paths, by leveraging a group of representative formula-based predictors. MPTCP-meLearning includes a novel mechanism to intelligently manage multiple paths in order to possibly mitigate the out-of-order reception and receive buffer blocking problems. Experimental results demonstrate that MPTCP-meLearning can achieve better transmission performance and quality of service than the baseline MPTCP scheme. |
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| AbstractList | With multiple network interfaces are being widely equipped in modern mobile devices, the Multipath TCP (MPTCP) is increasingly becoming the preferred transport technique since it can uses multiple network interfaces simultaneously to spread the data across multiple network paths for throughput improvement. However, the MPTCP performance can be seriously affected by the use of a poor-performing path in multipath transmission, especially in the presence of network attacks, in which an MPTCP path would abrupt and frequent become underperforming caused by attacks. In this paper, we propose a multi-expert Learning-based MPTCP variant, called MPTCP-meLearning, to enhance MPTCP performance robustness against network attacks. MPTCP-meLearning introduces a new kind of predictor to possibly achieve better quality prediction accuracy for each of multiple paths, by leveraging a group of representative formula-based predictors. MPTCP-meLearning includes a novel mechanism to intelligently manage multiple paths in order to possibly mitigate the out-of-order reception and receive buffer blocking problems. Experimental results demonstrate that MPTCP-meLearning can achieve better transmission performance and quality of service than the baseline MPTCP scheme. |
| ArticleNumber | 2021NGP0009 |
| Author | WANG, Hao CAO, Yuanlong JI, Ruiwen LEI, Gang JI, Lejun SHAO, Xun |
| Author_xml | – sequence: 1 fullname: CAO, Yuanlong organization: School of Software, Jiangxi Normal University – sequence: 2 fullname: JI, Ruiwen organization: School of Software, Jiangxi Normal University – sequence: 3 fullname: JI, Lejun organization: School of Software, Jiangxi Normal University – sequence: 4 fullname: SHAO, Xun organization: School of Regional Innovation and Social Design Engineering, Kitami Institute of Technology – sequence: 5 fullname: LEI, Gang organization: School of Software, Jiangxi Normal University – sequence: 6 fullname: WANG, Hao organization: School of Software, Jiangxi Normal University |
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| Title | MPTCP-meLearning: A Multi-Expert Learning-Based MPTCP Extension to Enhance Multipathing Robustness against Network Attacks |
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