{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:56:54Z","timestamp":1760144214330,"version":"build-2065373602"},"reference-count":17,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2024,3,30]],"date-time":"2024-03-30T00:00:00Z","timestamp":1711756800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Open Fund of the Key Laboratory of Big Data Intelligent Computing, Chongqing University of Posts and Telecommunications","award":["BDIC-2023-B-002"],"award-info":[{"award-number":["BDIC-2023-B-002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>How to select the transmitting path in MPTCP scheduling is an important but open problem. This paper proposes an intelligent data scheduling algorithm using spatiotemporal synchronous graph attention neural networks to improve MPTCP scheduling. By exploiting the spatiotemporal correlations in the data transmission process and incorporating graph self-attention mechanisms, the algorithm can quickly select the optimal transmission path and ensure fairness among similar links. Through simulations in NS3, the algorithm achieves a throughput gain of 7.9% compared to the PDAA3C algorithm and demonstrates improved packet transmission performance.<\/jats:p>","DOI":"10.3390\/a17040145","type":"journal-article","created":{"date-parts":[[2024,3,31]],"date-time":"2024-03-31T13:28:00Z","timestamp":1711891680000},"page":"145","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["PDASTSGAT: An STSGAT-Based Multipath Data Scheduling Algorithm"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2190-3463","authenticated-orcid":false,"given":"Sen","family":"Xue","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7467-2737","authenticated-orcid":false,"given":"Chengyu","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-6456-8511","authenticated-orcid":false,"given":"Jing","family":"Han","sequence":"additional","affiliation":[{"name":"Hangzhou Mergex Technology Co., Ltd., Hangzhou 310053, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0581-9384","authenticated-orcid":false,"given":"Ao","family":"Zhan","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2887","DOI":"10.1109\/COMST.2016.2586112","article-title":"Multipath Transmission for the Internet: A Survey","volume":"18","author":"Li","year":"2016","journal-title":"IEEE Commun. Surv. Tutorials"},{"doi-asserted-by":"crossref","unstructured":"Raiciu, C., Barre, S., Pluntke, C., Greenhalgh, A., Wischik, D., and Handley, M. (2011, January 15\u201319). Improving datacenter performance and robustness with multipath TCP. Proceedings of the ACM SIGCOMM 2011, Toronto, ON, Canada.","key":"ref_2","DOI":"10.1145\/2018436.2018467"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1445","DOI":"10.1109\/JSYST.2020.2965471","article-title":"Packet scheduling in multipath TCP: Fundamentals, lessons, and opportunities","volume":"15","author":"Kimura","year":"2020","journal-title":"IEEE Syst. J."},{"unstructured":"Asiri, M.Y. (2023). A survey of multipath TCP scheduling schemes: Open challenges and potential enablers. TechRxiv.","key":"ref_4"},{"doi-asserted-by":"crossref","unstructured":"Paasch, C., Ferlin, S., Alay, O., and Bonaventure, O. (2014, January 18). Experimental evaluation of multipath TCP schedulers. 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Graph WaveNet for Deep Spatial-Temporal Graph Modeling. arXiv.","key":"ref_17","DOI":"10.24963\/ijcai.2019\/264"}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/17\/4\/145\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:21:33Z","timestamp":1760106093000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/17\/4\/145"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,30]]},"references-count":17,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2024,4]]}},"alternative-id":["a17040145"],"URL":"https:\/\/doi.org\/10.3390\/a17040145","relation":{},"ISSN":["1999-4893"],"issn-type":[{"type":"electronic","value":"1999-4893"}],"subject":[],"published":{"date-parts":[[2024,3,30]]}}}